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IEEE Symposium Series on Computational Intelligence

召开年：2019
召开地：Xiamen(CN)
出版时间：-

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1.Global Optimal Path Planning for Multi-agent Flocking: A Multi-Objective Optimization Approach with NSGA-III

机译：多代理群的全局最优路径规划：使用NSGA-III的多目标优化方法
- 作者：Adarsh Kesireddy;Wanliang Shan;Hao Xu
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Optimization;
- Sociology;
- Statistics;
- Sorting;
- Task analysis;
- System performance;
- Electronic mail;
2.Experiments with Dissimilarity Measures for Clustering Waveform Data from Wearable Sensors

机译：利用相似性度量对可穿戴式传感器的波形数据进行聚类的实验
- 作者：Shreyasi Datta;James C. Bezdek;Marimuthu Palaniswami
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Time measurement;
- Shape;
- Distortion measurement;
- Time series analysis;
- Shape measurement;
- Sensors;
- Feature extraction;
3.Improving Data Explainability in Analysis of Designed Computer Simulation Experiments

机译：在设计的计算机模拟实验分析中提高数据可解释性
- 作者：Shengkun Xie;Anna Lawniczak;Junlin Hao;Chong Gan
- 会议名称：《》 | 2019年
4.Principal Component Analysis on Graph-Hessian

机译：图Hessian的主成分分析
- 作者：Yichen Pan;Yicong Zhou;Weifeng Liu;Liqiang Nie
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Principal component analysis;
- Sparse matrices;
- Robustness;
- Matrix decomposition;
- Analytical models;
- Manifolds;
- Task analysis;
5.MAIM: A Novel Hybrid Bio-inspired Algorithm for Classification

机译：MAIM：一种新颖的混合生物启发式分类算法
- 作者：Eirik Baug;Pauline Haddow;Andreas Norstein
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Sociology;
- Statistics;
- Artificial intelligence;
- Topology;
- Immune system;
- Genetic algorithms;
- Training;
6.Efficient Practice for Deep Reinforcement Learning

机译：深度强化学习的有效实践
- 作者：Venkata Sai Santosh Ravi Teja Kancharla;Minwoo Lee
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Training;
- Task analysis;
- Neural networks;
- Learning (artificial intelligence);
- Games;
- Machine learning;
- Network architecture;
7.Machine Learning for Predicting Development of Asthma in Children

机译：机器学习预测儿童哮喘的发展
- 作者：Julie L. Harvey;Sathish A. P. Kumar
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Respiratory system;
- Pediatrics;
- Predictive models;
- Machine learning;
- Medical services;
- Forestry;
- Analytical models;
8.Maintaining Diversity in an SVM integrated Case Based GA for Solar Flare Prediction

机译：在基于SVM集成案例的遗传算法中保持多样性，用于太阳耀斑预测
- 作者：Yoshio Taniguchi;Yoshihiko Kubota;Setsuo Tsuruta;Yoshiyuki Mizuno;Takayuki Muranushi;Yuko Hada Muranushi;Yoshitaka Sakurai;Rainer Knauf;Andrea Kutics
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Genetic algorithms;
- Support vector machines;
- Magnetic fields;
- Electronic mail;
- Satellites;
- Physics;
- Earth;
9.A Metric to Measure Contribution of Nodes in Neural Networks

机译：一种衡量神经网络中节点贡献的指标
- 作者：Jay Hoon Jung;Yousun Shin;Youngmin Kwon
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Artificial neural networks;
- Measurement;
- Computer science;
- Electronic mail;
- Task analysis;
- Predictive models;
10.An Effective Radiomics Model for Noninvasive Discrimination of Fat-poor Angiomyolipoma from Clear Cell Renal Cell Carcinoma

机译：从透明细胞肾细胞癌无脂肪鉴别血管性脂肪异常的有效放射学模型。
- 作者：Yi Yang;Jianbing Zhu;Zhiyong Zhou;Yakang Dai;Xusheng Qian
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Feature extraction;
- Tumors;
- Correlation;
- Computed tomography;
- Entropy;
- Neurons;
- Image segmentation;
11.A Hidden Feature Selection Method based on l2,0-Norm Regularization for Training Single-hidden-layer Neural Networks

机译：基于l 2,0 -范数正则化的隐藏特征选择方法用于训练单隐藏层神经网络
- 作者：Zhiwei Liu;Yuanlong Yu;Zhenzhen Sun
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Neural networks;
- Training;
- Feature extraction;
- Iterative algorithms;
- Task analysis;
- Optimization;
- Clustering algorithms;
12.MI-ABPSO: an Ameliorated Binary PSO for Feature Selection of Biomedical Data

机译：MI-ABPSO：用于生物医学数据特征选择的改进的二元PSO
- 作者：Jiping Lin;Junhao Kang;Yu Zhou
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Classification algorithms;
- Optimization;
- Correlation;
- Particle swarm optimization;
- Feature extraction;
- Entropy;
- Mutual information;
13.Multi-agent Reinforcement Learning in Spatial Domain Tasks using Inter Subtask Empowerment Rewards

机译：使用子任务间赋权奖励在空间域任务中进行多主体强化学习
- 作者：Shubham Pateria;Budhitama Subagdja;Ah-Hwee Tan
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Task analysis;
- Robot kinematics;
- Learning (artificial intelligence);
- Standards;
- Electronic mail;
- Computer science;
14.Relevant Experiences in Replay Buffer

机译：重播缓冲区的相关经验
- 作者：Giang Dao;Minwoo Lee
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Training;
- Monitoring;
- Learning (artificial intelligence);
- Tagging;
- Buffer storage;
- Kernel;
- Games;
15.LuNet: A Deep Neural Network for Network Intrusion Detection

机译：LuNet：用于网络入侵检测的深度神经网络
- 作者：Peilun Wu;Hui Guo
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Machine learning;
- Feature extraction;
- Intrusion detection;
- Training;
- Kernel;
- Recurrent neural networks;
16.Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces

机译：在基于脑电图的脑机接口中对黑匣子对抗性攻击的主动学习
- 作者：Xue Jiang;Xiao Zhang;Dongrui Wu
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Brain modeling;
- Electroencephalography;
- Training;
- Perturbation methods;
- Machine learning;
- Computational modeling;
- Data models;
17.Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multi-objective Optimization Algorithms

机译：决策和目标空间离散化对演化多目标优化算法性能的影响
- 作者：Weiyu Chen;Hisao Ishibuchi;Ke Shang
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Standards;
- Search problems;
- Convergence;
- Optimization;
- Computational intelligence;
- Benchmark testing;
- Sorting;
18.Apprenticeship Learning for Continuous State Spaces and Actions in a Swarm-Guidance Shepherding Task

机译：群体指导牧羊任务中连续状态空间和动作的学徒学习
- 作者：Hung The Nguyen;Matthew Garratt;Lam Thu Bui;Hussein Abbass
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Learning (artificial intelligence);
- Force;
- Machine learning;
- Task analysis;
- Information technology;
- Electronic mail;
- Mathematical model;
19.Augmented YARA Rules Fused With Fuzzy Hashing in Ransomware Triaging

机译：在勒索软件分类中融合模糊散列的增强型YARA规则
- 作者：Nitin Naik;Paul Jenkins;Nick Savage;Longzhi Yang;Kshirasagar Naik;Jingping Song
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Ransomware;
- Cryptography;
- Engines;
- Semantics;
- Syntactics;
- Electronic mail;
20.Using Probabilistic Attribute Aggregation for Increasing Trust in Attribute Assurance

机译：使用概率属性聚合来增加对属性保证的信任
- 作者：Andreas Grüner;Alexander Mühle;Christoph Meinel
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Authentication;
- Credit cards;
- Probabilistic logic;
- Logic gates;
- Aggregates;
21.Weak Convergence Detection-based Dynamic Reference Point Specification in SMS-EMOA

机译：SMS-EMOA中基于弱收敛检测的动态参考点规范
- 作者：Weiduo Liao;Ke Shang;Lie Meng Pang;Hisao Ishibuchi
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Convergence;
- Sociology;
- Statistics;
- Optimization;
- Heuristic algorithms;
- Computational intelligence;
- Minimization;
22.Algorithm Portfolio for Parameter Tuned Evolutionary Algorithms

机译：参数优化进化算法的算法组合
- 作者：Hao Tong;Shuyi Zhang;Changwu Huang;Xin Yao
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Portfolios;
- Tuning;
- Optimization;
- Training;
- Benchmark testing;
- Evolutionary computation;
- Measurement;
23.Lockout-Tagout Ransomware: A Detection Method for Ransomware using Fuzzy Hashing and Clustering

机译：锁定-挂出勒索软件：一种使用模糊散列和聚类的勒索软件检测方法
- 作者：Nitin Naik;Paul Jenkins;Jonathan Gillett;Haralambos Mouratidis;Kshirasagar Naik;Jingping Song
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Ransomware;
- Clustering methods;
- Indexes;
- Cryptography;
- Engines;
- Syntactics;
24.Malware Analytics: Review of Data Mining, Machine Learning and Big Data Perspectives

机译：恶意软件分析：数据挖掘，机器学习和大数据视角的回顾
- 作者：Subash Poudyal;Zahid Akhtar;Dipankar Dasgupta;Kishor Datta Gupta
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Machine learning;
- Data mining;
- Big Data;
- Feature extraction;
- Reverse engineering;
- Ransomware;
25.Self-adaptive Decomposition and Incremental Hyperparameter Tuning Across Multiple Problems

机译：跨多个问题的自适应分解和增量超参数调整
- 作者：Jialin Liu;Xin Yao
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Task analysis;
- Tuning;
- Routing;
- Clustering algorithms;
- Urban areas;
- Optimization;
- Prediction algorithms;
26.Optimal Distributions of Solutions for Hypervolume Maximization on Triangular and Inverted Triangular Pareto Fronts of Four-Objective Problems

机译：四个目标问题的三角和倒三角Pareto前沿超容量最大化的解的最优分布
- 作者：Hisao Ishibuchi;Takashi Matsumoto;Naoki Masuyama;Yusuke Nojima
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Optimization;
27.Multi-modal Multi-objective Optimization: Problem Analysis and Case Studies

机译：多模式多目标优化：问题分析和案例研究
- 作者：Yiming Peng;Hisao Ishibuchi;Ke Shang
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Sociology;
- Statistics;
- Genetics;
- Optimization;
- Standards;
- Evolutionary computation;
- Indexes;
28.Multitasking Genetic Programming for Stochastic Team Orienteering Problem with Time Windows

机译：带时间窗的随机团队定向运动问题的多任务遗传规划
- 作者：Deepak Karunakaran;Yi Mei;Mengjie Zhang
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Stochastic processes;
- Optimization;
- Urban areas;
- Multitasking;
- Task analysis;
- Genetics;
- Dynamic scheduling;
29.A Two-Stage Genetic Programming Hyper-Heuristic for Uncertain Capacitated Arc Routing Problem

机译：不确定电容弧布线问题的两阶段遗传规划超启发式
- 作者：Shaolin Wang;Yi Mei;John Park;Mengjie Zhang
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Routing;
- Task analysis;
- Optimization;
- Sociology;
- Statistics;
- Robustness;
- Complexity theory;
30.A Multi-Objective Hyper-Heuristic for Unmanned Aerial Vehicle Data Collection in Wireless Sensor Networks

机译：无线传感器网络中无人机数据采集的多目标超启发式
- 作者：Zhixing Huang;Chengyu Lu;Jinghui Zhong
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Sensors;
- Wireless sensor networks;
- Unmanned aerial vehicles;
- Energy consumption;
- Monitoring;
- Data collection;
- Routing;
31.Filter based Explorized Policy Iteration Algorithm for On-Policy Approximate LQR

机译：策略近似LQR的基于过滤器的探索性策略迭代算法
- 作者：Sumit Kumar Jha;Sayan Basu Roy;Shubhendu Bhasin
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Heuristic algorithms;
- Approximation algorithms;
- Symmetric matrices;
- Linear systems;
- Uncertain systems;
- Convergence;
- Trajectory;
32.Research on Local Path Planning for the Mobile Robot Based on QL-anfis Algorithm

机译：基于QL-anfis算法的移动机器人局部路径规划研究
- 作者：Li Song;Dazi Li;Zhi Sun
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Path planning;
- Robot sensing systems;
- Mobile robots;
- Manganese;
- Fuzzy neural networks;
- Data acquisition;
33.A Simple Yet Effective Resampling Rule in Noisy Evolutionary Optimization

机译：噪声进化优化中的简单有效采样规则
- 作者：Jialin Liu;Olivier Teytaud
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Noise measurement;
- Optimization;
- Linear programming;
- Additive noise;
- Convergence;
- Evolutionary computation;
- Tuning;
34.Efficient Decision Making under Uncertainty in a Power System Investment Problem

机译：电力系统投资不确定性下的有效决策
- 作者：Jialin Liu;Olivier Teytaud
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Uncertainty;
- Nash equilibrium;
- Tools;
- Power systems;
- Investment;
- Approximation algorithms;
35.Evolving Ensembles of Routing Policies using Genetic Programming for Uncertain Capacitated Arc Routing Problem

机译：遗传规划求解不确定电容弧路径问题的路由策略演化
- 作者：Shaolin Wang;Yi Mei;John Park;Mengjie Zhang
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Routing;
- Task analysis;
- Optimization;
- Training;
- Genetic programming;
- Real-time systems;
- Genetic algorithms;
36.A New Initialisation Method for Examination Timetabling Heuristics

机译：考试时间表启发式的新初始化方法
- 作者：Amjad A. Alsuwaylimi;Jonathan E. Fieldsend
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Schedules;
- Genetic algorithms;
- Heuristic algorithms;
- Evolutionary computation;
- Optimization;
- Resource management;
37.Geostationary Orbit Agile Satellite Mission Planning for Frequent Revisiting of Point Targets

机译：对地目标频繁复现的对地静止轨道敏捷卫星任务计划
- 作者：Jiaming Chen;Xiaolu Liu;Yuning Chen;Yingwu Chen;Benjie Pi;Peng Sun
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Imaging;
- Satellites;
- Genetic algorithms;
- Planning;
- Mathematical model;
38.Optimizing Field Productivity by Mobile Warehouse Deployment Using Evolutionary Algorithms

机译：使用进化算法通过移动仓库部署优化现场生产力
- 作者：Siddhartha Shakya;Beum Seuk Lee;Gilbert Owusu
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Task analysis;
- Telecommunications;
- Organizations;
- Evolutionary computation;
- Optimization;
- Manuals;
39.Alternative Loss Functions in AlphaZero-like Self-play

机译：类似AlphaZero的自玩游戏中的替代损失函数
- 作者：Hui Wang;Michael Emmerich;Mike Preuss;Aske Plaat
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Games;
- Training;
- Neural networks;
- Minimization;
- Machine learning;
- Probability distribution;
- Bayes methods;
40.Remaining Useful Life Prediction of Machining Tools by 1D-CNN LSTM Network

机译：1D-CNN LSTM网络预测加工工具的剩余使用寿命
- 作者：Jiahe Niu;Chongdang Liu;Linxuan Zhang;Yuan Liao
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Feature extraction;
- Machining;
- Tools;
- Vibrations;
- Logic gates;
- Discrete wavelet transforms;
- Low pass filters;
41.Machine Learning-Based Models for Assessing Impacts Before, During and After Hurricane Florence

机译：基于机器学习的模型，用于评估佛罗伦萨飓风之前，之中和之后的影响
- 作者：Julie Harvey;Sathish Kumar;Shaowu Bao
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Twitter;
- Hurricanes;
- Storms;
- Sentiment analysis;
- Correlation;
42.A fast inverse approach for the quantification of set-theoretical uncertainty

机译：集理论不确定性定量的快速逆方法
- 作者：Lars Bogaerts;Matthias Faes;David Moens
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Computational modeling;
- Uncertainty;
- Numerical models;
- Machine learning;
- Atmospheric modeling;
- Biological neural networks;
- Data models;
43.Sensitivity analysis of prior beliefs in advanced Bayesian networks

机译：高级贝叶斯网络中先验信念的敏感性分析
- 作者：Longxue He;Michael Beer;Matteo Broggi;Pengfei Wei;António Topa Gomes
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Sensitivity analysis;
- Reliability;
- Indexes;
- Analytical models;
- Uncertainty;
- Bayes methods;
44.Traffic Aware Many-Objective Dynamic Route Planning

机译：流量感知多目标动态路由规划
- 作者：Ying Ying Liu;Fatemeh Enayatollahi;Parimala Thulasiraman
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Planning;
- Roads;
- Vehicle dynamics;
- Mathematical model;
- Optimization;
- Clustering algorithms;
45.Accurate Replication of Simulations of Governing Equations of Processes in Industry 4.0 Environments with ANNs for Enhanced Monitoring and Control

机译：带有ANN的工业4.0环境中过程控制方程仿真的精确复制，用于增强的监视和控制
- 作者：Kommalapati Sahil;Arya K. Bhattacharya
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Mathematical model;
- Computational modeling;
- Numerical models;
- Artificial neural networks;
- Real-time systems;
- Industries;
- Numerical simulation;
46.A dual-grid dual-phase strategy for constrained multi-objective optimization

机译：约束多目标优化的双网格双阶段策略
- 作者：Mengjun Ming;Rui Wang;Tao Zhang;Hisao Ishibuchi
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Sociology;
- Evolutionary computation;
- Pareto optimization;
- Convergence;
- Switches;
47.Evolution Properties of Complex-Valued Memristive Differential-Algebraic Neural Networks

机译：复值忆阻微分代数神经网络的演化性质
- 作者：Qing Liu;Jin-E Zhang
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Memristors;
- Biological neural networks;
- Mathematical model;
- Biological system modeling;
- Numerical models;
48.Robust Estimator based Adaptive Multi-Task Learning

机译：基于鲁棒估计器的自适应多任务学习
- 作者：Peiyuan Zhu;Cailian Chen;Jianping He;Shanying Zhu
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Task analysis;
- Robustness;
- Linear programming;
- Feature extraction;
- Optimization;
- Time complexity;
- Clustering algorithms;
49.A Comparative Study of State-of-the-Art Machine Learning Algorithms for Predictive Maintenance

机译：用于预测性维护的最新机器学习算法的比较研究
- 作者：Luis P. Silvestrin;Mark Hoogendoorn;Ger Koole
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Machine learning;
- Predictive maintenance;
- Machine learning algorithms;
- Feature extraction;
- Electronic mail;
- Training;
50.Blind Topology Identification for Smart Grid Based on Dictionary Learning

机译：基于字典学习的智能电网盲拓扑识别
- 作者：Zili Xiang;Keke Huang;Wenfeng Deng;Chunhua Yang
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Smart grids;
- Topology;
- Sparse matrices;
- Network topology;
- Machine learning;
- Dictionaries;
- Transmission line matrix methods;
51.An Object Oriented Approach to Fuzzy Actor-Critic Learning for Multi-Agent Differential Games

机译：面向对象的多智能体微分游戏模糊角色批判学习方法
- 作者：Howard Schwartz
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Games;
- Robots;
- Fuzzy logic;
- Inference algorithms;
- Learning (artificial intelligence);
- Fuzzy systems;
- Object oriented modeling;
52.Information and Resource Sharing in Reinforcement Learning Agents Subject to Risk

机译：易受风险影响的强化学习代理中的信息和资源共享
- 作者：Steven Aaron Roberts;Dean Frederick Hougen
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
53.Parallel Ant Colony Optimization for the Electric Vehicle Routing Problem

机译：电动汽车路径问题的并行蚁群优化
- 作者：Michalis Mavrovouniotis;Changhe Li;Georgios Ellinas;Marios Polycarpou
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Electric vehicles;
- Routing;
- Batteries;
- Technological innovation;
- Vehicle routing;
- Charging stations;
- Optimization;
54.Adaptive-SAHiD Algorithm for Capacitated Arc Routing Problems

机译：自适应SAHiD算法求解容性弧路由问题
- 作者：Changwu Huang;Yuanxiang Li;Xin Yao
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Kernel;
- Estimation;
- Heuristic algorithms;
- Task analysis;
- Routing;
- Computer science;
- Density functional theory;
55.On the Selection of Features for the Prediction Model of Cultivation of Sweet Potatoes at Early Growth Stage

机译：甘薯生育前期栽培预测模型的特征选择
- 作者：LihChyun Shu;Bo Hsiao;Yi-Hsin Liou;Yi-Lin Tsai
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Predictive models;
- Feature extraction;
- Data models;
- Simulated annealing;
- Production;
- Prediction algorithms;
- Urban areas;
56.Simulated and Real-World Evolution of Predator Robots

机译：捕食者机器人的模拟和真实世界演变
- 作者：Gongjin Lan;Jiunhan Chen;A. E. Eiben
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Mobile robots;
- Predator prey systems;
- Robot kinematics;
- Evolutionary computation;
- Robustness;
- Task analysis;
57.A Variable Block Insertion Heuristic for Single Machine with Release Dates and Sequence Dependent Setup Times for Makespan Minimization

机译：单机的可变块插入启发式，具有发布日期和与序列有关的设置时间，可最大程度地缩短制造时间
- 作者：Jiaxin Fan;Damla Kizilay;Hande Öztop;Mehmet Fatih Tasgetiren;Liang Gao
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Single machine scheduling;
- Heuristic algorithms;
- Job shop scheduling;
- Manufacturing;
- Benchmark testing;
- Cost function;
- Industrial engineering;
58.A General Variable Neighborhood Search for the NoIdle Flowshop Scheduling Problem with Makespan Criterion

机译：带有Makespan准则的NoIdle Flowshop调度问题的通用变量邻域搜索
- 作者：Liangshan Shen;Mehmet Fatih Tasgetiren;Hande Öztop;Levent Kandiller;Liang Gao
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Heuristic algorithms;
- Job shop scheduling;
- Standards;
- Benchmark testing;
- Processor scheduling;
- Greedy algorithms;
59.Automatic Composite Action Discovery for Hierarchical Reinforcement Learning

机译：用于层次强化学习的自动复合动作发现
- 作者：Josiah Laivins;Minwoo Lee
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Task analysis;
- Learning (artificial intelligence);
- Entropy;
- Training;
- Markov processes;
- Windows;
- Standards;
60.On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization

机译：点云自动编码器作为几何优化形状优化的效率
- 作者：Thiago Rios;Bernhard Sendhoff;Stefan Menzel;Thomas Bäck;Bas van Stein
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Shape;
- Optimization;
- Strain;
- Three-dimensional displays;
- Geometry;
- Task analysis;
- Computational modeling;
61.Automated Selection of Evolutionary Multi-objective Optimization Algorithms

机译：进化多目标优化算法的自动选择
- 作者：Ye Tian;Shichen Peng;Tobias Rodemann;Xingyi Zhang;Yaochu Jin
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Evolutionary computation;
- Benchmark testing;
- Feature extraction;
- Optimization;
- Prediction algorithms;
- Convergence;
- Linear programming;
62.Many-Modal Optimization by Difficulty-Based Cooperative Co-evolution

机译：基于难度的协同进化的多模态优化
- 作者：Wenjian Luo;Yingying Qiao;Xin Lin;Peilan Xu;Mike Preuss
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Optimization;
- Benchmark testing;
- Sociology;
- Statistics;
- Heuristic algorithms;
- Resource management;
- Search problems;
63.Quantitative Model Checking for a Resilient Control System

机译：弹性控制系统的定量模型检查
- 作者：Jay Hoon Jung;Eunhee Kim;YoungMin Kwon
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Linear systems;
- Model checking;
- Mathematical model;
- Computational modeling;
- Gears;
- Automobiles;
- Trajectory;
64.Distributed Progressive Formation Control with One-Way Communication for Multi-Agent Systems

机译：多主体系统单向通信的分布式渐进编队控制
- 作者：J. Peña Queralta;T. N. Gia;H. Tenhunen;T. Westerlund;L. Qingqing;Z Zou
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Robot kinematics;
- Robot sensing systems;
- Convergence;
- Multi-agent systems;
- Scalability;
65.Hybrid Chaotic Radial Basis Function Neural Oscillatory Network (HCRBFNON) for Financial Forecast and Trading System

机译：混合混沌径向基函数神经振荡网络（HCRBFNON）用于金融预测和交易系统
- 作者：Turing Y. F. Qiu;Alex Y. C. Yuan;Peter Z. Chen;Raymond S. T. Lee
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Neural networks;
- Finance;
- Investment;
- Quantum mechanics;
- Transient analysis;
66.A Practical Model for Educators to Predict Student Performance in K-12 Education using Machine Learning

机译：教育者使用机器学习预测K-12教育中学生表现的实用模型
- 作者：Julie L. Harvey;Sathish A. P. Kumar
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Decision trees;
- Predictive models;
- Education;
- Classification algorithms;
- Prediction algorithms;
- Data mining;
- Machine learning;
67.Grammatical Structure Detection with Intrinsic Plasticity based Echo State Networks for Cognitive Robot

机译：基于内在可塑性的认知机器人回声状态网络语法结构检测
- 作者：Zongying Liu;Chu Kiong Loo;Min Jiang
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Reservoirs;
- Neurons;
- IP networks;
- Mathematical model;
- Training;
- Prediction algorithms;
- Computational modeling;
68.Bridging the Gap between Robotic Applications and Computational Intelligence in Domestic Robotics

机译：缩小家用机器人中机器人应用与计算智能之间的差距
- 作者：Junpei Zhong;Ting Han;Ahmad Lotfi;Angelo Cangelosi;Xiaofeng Liu
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Task analysis;
- Simultaneous localization and mapping;
- Face recognition;
- Service robots;
- Path planning;
69.Data Driven Domain Appraisal: Extracting Information from Short Dense Texts

机译：数据驱动的域评估：从短密集文本中提取信息
- 作者：Jian Liu;Xiangdong Zeng;Adam Ghandar;Georgios Theodoropoulos
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Cost accounting;
- Servers;
- Appraisal;
- Data models;
- Protocols;
- Feature extraction;
- Natural language processing;
70.Characterization of Entomological Micro Traces Images with Deep Neural Networks

机译：深度神经网络对昆虫微迹图像的表征
- 作者：Adriano C. A. da Cruz;Felipe A. Schwab;Ozana M. A. Maia;Rubens A. de Faria;Gustavo B. Borba;Valfredo Pilla
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Insects;
- Forensics;
- Neural networks;
- Kernel;
- Static VAr compensators;
71.A Novel Neural Network Based Method for Analysis of Pavement Deflection Data

机译：基于神经网络的路面变形数据分析新方法
- 作者：Jeffrey Lee;Zohaib Md. Jan;Brijesh Verma
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Neural networks;
72.A Cost-Sensitive Centroid-based Differential Evolution Classification Algorithm applied to Cancer Data Sets

机译：一种基于成本敏感质心的差分进化分类算法，应用于癌症数据集
- 作者：Jamil Al-Sawwa;Simone A. Ludwig
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Linear programming;
- Cancer;
- Sociology;
- Statistics;
- Machine learning algorithms;
- Training data;
- Task analysis;
73.When and How to Transfer Knowledge in Dynamic Multi-objective Optimization

机译：动态多目标优化中何时以及如何转移知识
- 作者：Gan Ruan;Leandro L. Minku;Stefan Menzel;Bernhard Sendhoff;Xin Yao
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Sociology;
- Statistics;
- Optimization;
- Kernel;
- Benchmark testing;
- Heuristic algorithms;
- Task analysis;
74.A New Approach Towards the Combined Algorithm Selection and Hyper-parameter Optimization Problem

机译：解决组合算法选择和超参数优化问题的新方法
- 作者：Xin Guo;Bas van Stein;Thomas Bäck
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Optimization;
- Machine learning algorithms;
- Data models;
- Bayes methods;
- Task analysis;
- Computational modeling;
- Machine learning;
75.A Zoning Search Strategy for Differential Evolution Variants

机译：差分演化变体的分区搜索策略
- 作者：Qinqin Fan;Bin Cao
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Handheld computers;
- Computational intelligence;
76.Routing Sales Territory by Solving a TSP Variant with Genetic Algorithm in a Multi-constraint and Complicated Real-world Application

机译：在多约束和复杂的实际应用中，通过使用遗传算法解决TSP变体来路由销售区域
- 作者：Sávio Menezes Sampaio;Altino Dantas;Celso G. Camilo-Junior
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Companies;
- Genetic algorithms;
- Urban areas;
- Proposals;
- Routing;
- Time-frequency analysis;
- Microsoft Windows;
77.Analysis of Mission Planning Problem for Video Satellite Imaging with Variable Imaging Duration

机译：可变成像持续时间的视频卫星成像任务规划问题分析
- 作者：Chang Zhongxiang;Chen Yuning;Yang Wenyuan;Zhou Zhongbao
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Handheld computers;
- Computational intelligence;
78.Surrogate-Assisted Optimization of the Opt-IA Artificial Immune System Algorithm

机译：替代辅助优化Opt-IA人工免疫系统算法
- 作者：Yuko Sakanaka;Nathanael Aubert-Kato
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Sociology;
- Statistics;
- Gaussian processes;
- Linear programming;
- Optimization;
- Aging;
- Immune system;
79.Stochastic Ranking for Offline Data-Driven Evolutionary Optimization Using Radial Basis Function Networks with Multiple Kernels

机译：使用多核径向基函数网络进行离线数据驱动的进化优化的随机排名
- 作者：Pengfei Huang;Handing Wang;Wenping Ma
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Handheld computers;
- Sociology;
- Statistics;
- Neurons;
- Clustering algorithms;
- Training;
- Interpolation;
80.Domination-Based Ordinal Regression for Expensive Multi-Objective Optimization

机译：基于控制的序数回归用于昂贵的多目标优化
- 作者：Xunzhao Yu;Xin Yao;Yan Wang;Ling Zhu;Dimitar Filev
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Optimization;
- Evolutionary computation;
- Computational modeling;
- Analytical models;
- Engines;
- Linear programming;
- Training;
81.Evolving Structures in Complex Systems

机译：复杂系统中不断发展的结构
- 作者：Hugo Cisneros;Josef Sivic;Tomas Mikolov
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Automata;
- Complexity theory;
- Measurement;
- Complex systems;
- Organisms;
- Compression algorithms;
- Tungsten;
82.Time-Varying Complex Zhang Matrix (ZM) with Its Pseudoinverse not Solvable Directly by Getz-Masden (GM) Dynamic System

机译：时变复杂张矩阵（ZM）及其伪逆不能通过Getz-Masden（GM）动态系统直接解决
- 作者：Yunong Zhang;Zhenyu Li;Yihong Ling;Min Yang;Binbin Qiu
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Mathematical model;
- Solid modeling;
- Solids;
- Time-varying systems;
- Neural networks;
- Computational intelligence;
- Testing;
83.Automated and Surrogate Multi-Resolution Approaches in Genetic Algorithms

机译：遗传算法中的自动化和替代多分辨率方法
- 作者：Abdulaziz T. Almutairi;Jonathan E. Fieldsend
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Sociology;
- Statistics;
- Optimization;
- Genetic algorithms;
- Standards;
- Probability density function;
- Biological cells;
84.A New Improved Convolutional Neural Network Flower Image Recognition Model

机译：一种新的改进的卷积神经网络花图像识别模型
- 作者：Min Qin;Yuhang Xi;F. Jiang
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Feature extraction;
- Convolution;
- Image classification;
- Loss measurement;
- Convolutional neural networks;
- Image recognition;
- Training;
85.A Multi-population Helper and Equivalent Objective Differential Evolution Algorithm

机译：一种多人口帮助者和等效目标差分进化算法
- 作者：Tao Xu;Jun He
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Optimization;
- Sociology;
- Statistics;
- Linear programming;
- Genetic algorithms;
- Evolutionary computation;
- Parallel processing;
86.Improved Moth-Flame Optimization Based on Opposition-Based Learning for Feature Selection

机译：基于对立学习的改进的飞蛾优化功能选择
- 作者：Mohamed Abd Elaziz;Songfeng Lu;Diego Oliva;Mohammed El-Abd
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Feature extraction;
- Sociology;
- Statistics;
- Optimization;
- Benchmark testing;
- Particle swarm optimization;
- Convergence;
87.Optimization of Kernel Method-Based Autoencoder Using Chaotic Evolution Algorithm

机译：混沌进化算法的基于核方法的自编码器优化
- 作者：Van Quan Dang;Yan Pei;Lei Jing;Jianqiang Li
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Kernel;
- Optimization;
- Databases;
- Linear regression;
- Training;
- Feature extraction;
- Electronic mail;
88.Assessment and manipulation of the computational capacity of in vitro neuronal networks through criticality in neuronal avalanches

机译：通过神经元雪崩的临界性评估和操纵体外神经元网络的计算能力
- 作者：Kristine Heiney;Ola Huse Ramstad;Ioanna Sandvig;Axel Sandvig;Stefano Nichele
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Biological neural networks;
- In vitro;
- Electrodes;
- Substrates;
- Task analysis;
- Neurons;
- Perturbation methods;
89.Self-Efficacy and Kinematics: Establishing a Relationship between Kinematics and Task Challenge of a Goal Directed Reaching Task in Unimpaired Adults

机译：自我效能和运动学：建立运动学与成年残障成年人目标定向达成任务的任务挑战之间的关系
- 作者：Erica Waters;Eric Wade
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Task analysis;
- Atmospheric measurements;
- Particle measurements;
- Kinematics;
- Monitoring;
- Testing;
- Indexes;
90.Influence of Instance Size on Selection Hyper-Heuristics for Job Shop Scheduling Problems

机译：实例大小对作业车间调度问题中选择超方法的影响
- 作者：Fernando Garza-Santisteban;Jorge M. Cruz-Duarte;Ivan Amaya;José Carlos Ortiz-Bayliss;Santiago Enrique Conant-Pablos;Hugo Terashima-Marín
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Schedules;
- Training;
- Job shop scheduling;
- Simulated annealing;
- Testing;
- Linear programming;
91.A New Approach to Generate Solutions Combining Crossover and Estimation of Distribution Operators for EMO Algorithm

机译：EMO算法结合分布算子和分布算子估计生成解的新方法
- 作者：Masahide Miyamoto;Shinya Watanabe
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Estimation;
- Switches;
- Optimization;
- Sociology;
- Statistics;
- Ellipsoids;
- Search problems;
92.Multitasking differential evolution with difference vector sharing mechanism

机译：具有差异向量共享机制的多任务差异演化
- 作者：Yiqiao Cai;Deining Peng;Shunkai Fu;Hui Tian
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Task analysis;
- Optimization;
- Multitasking;
- Sociology;
- Statistics;
- Cultural differences;
- Genetics;
93.Learning of Multivariate Beta Mixture Models via Entropy-based component splitting

机译：通过基于熵的成分分解学习多元Beta混合物模型
- 作者：Narges Manouchehri;Maryam Rahmanpour;Nizar Bouguila;Wentao Fan
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Entropy;
- Mixture models;
- Computational modeling;
- Data models;
- Estimation;
- Parameter estimation;
- Bayes methods;
94.Aggregation of Subclassifications: Methods, Tools and Experiments

机译：子分类汇总：方法，工具和实验
- 作者：Christoph Doell;Christian Borgelt
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Aggregates;
- Exponential distribution;
- Electronic mail;
- Time series analysis;
- Stacking;
95.Fast Face Recognition Model without Pruning

机译：无需修剪的快速人脸识别模型
- 作者：Wang-Wang Yu;Yong-Jie Li
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Face recognition;
- Computer architecture;
- Standards;
- Real-time systems;
- Feature extraction;
- Computational modeling;
- Face;
96.Evolving Efficient Deep Neural Networks for Real-time Object Recognition

机译：不断发展的高效深度神经网络，用于实时物体识别
- 作者：Gongjin Lan;Lucas de Vries;Shuai Wang
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Feature extraction;
- Object recognition;
- Real-time systems;
- Neural networks;
- Topology;
- Network topology;
- Robots;
97.Information Theoretic Approach for Modeling Bounded Rationality in Networked Games

机译：网络游戏有限理性建模的信息理论方法
- 作者：Lahiru Gunawardana;Prasan Ratnayake;Mahendra Piraveenan;Dharshana Kasthurirathna
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Network topology;
- Topology;
- Entropy;
- Games;
- Nash equilibrium;
- Computational modeling;
98.An Improved TLBO Algorithm for Solving UAV Path Planning Problem

机译：改进的TLBO算法解决无人机路径规划问题
- 作者：Soheila Ghambari;Lhassane Idoumghar;Laetitia Jourdan;Julien Lepagnot
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Path planning;
- Two dimensional displays;
- Three-dimensional displays;
- Sociology;
- Statistics;
- Unmanned aerial vehicles;
- Optimization;
99.Generation of Human-Like Movements Based on Environmental Features

机译：根据环境特征生成类似人类的运动
- 作者：A. Zonta;S. K. Smit;M. Hoogendoorn;A.E. Eiben
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Trajectory;
- Machine learning algorithms;
- Task analysis;
- Recurrent neural networks;
- Computational modeling;
- Roads;
- Training;
100.Data Stream Clustering Algorithm for Smart Site and Its Implementation Based on Flink

机译：基于Flink的智能站点数据流聚类算法及其实现。
- 作者：Wei Li;Tiantian Jian;Ziqiao Zhao;Xiang Ma
- 会议名称：《IEEE Symposium Series on Computational Intelligence》 | 2019年
- Clustering algorithms;
- Heuristic algorithms;
- Principal component analysis;
- Partitioning algorithms;
- Real-time systems;
- Safety;
- Covariance matrices;