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Artificial Bee Colony Algorithm with Adaptive Explorations and Exploitations: A Novel Approach for Continuous Optimization

机译：自适应探索与探索的人工蜂群算法：一种新的连续优化方法

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Mohammad Shafiul Alam; Kazuyuki Murase;
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年度 2015
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1. Balancing exploration and exploitation by using sequential execution cooperation between artificial bee colony and migrating birds optimization algorithms [J] . HASAN MAKAS, NEJAT YUMU?AK Turkish Journal of Electrical Engineering and Computer Sciences . 2016,第6期

机译：利用人工蜂群与迁徙鸟类优化算法之间的顺序执行协作来平衡勘探与开发
2. A high-efficiency adaptive artificial bee colony algorithm using two strategies for continuous optimization [J] . Song Xiaoyu, Zhao Ming, Yan Qifeng, Swarm and Evolutionary Computation . 2019,第期

机译：一种使用两种策略进行连续优化的高效自适应人造蜜蜂算法
3. A self adaptive hybrid enhanced artificial bee colony algorithm for continuous optimization problems [J] . Shan Hai, Yasuda Toshiyuki, Ohkura Kazuhiro BioSystems . 2015,第Null期

机译：连续优化问题的自适应混合增强人工蜂群算法
4. Modified Binary Artificial Bee Colony Algorithm with New Exploration-Exploitation Strategies [C] . Reir Erlinda E. Cutad, Ruji P. Medina IEEE International Conference on Engineering Technologies and Applied Sciences . 2019

机译：具有新勘探开发策略的改进二进制人工蜂群算法
5. Optimizing Work Zone Schedules Considering Traffic Diversion with Artificial Bee Colony Algorithm [D] . Semaan, Celina. 2021

机译：考虑人造蜂菌落算法的交通转移优化工作区时间表
6. Enhancing Artificial Bee Colony Algorithm with Self-Adaptive Searching Strategy and Artificial Immune Network Operators for Global Optimization [O] . Tinggui Chen, Renbin Xiao -1

机译：通过自适应搜索策略和人工免疫网络算子增强人工蜂群算法进行全局优化
7. Adaptive Mutation Rate for the Artificial Bee Colony Algorithm: A Case Study on Benchmark Continuous Optimization Problems [O] . Syeda Shabnam Hasan 2015

机译：人工蜂群算法的自适应变异率 - 基准连续优化问题的个案研究

Artificial Bee Colony Algorithm with Adaptive Explorations and Exploitations: A Novel Approach for Continuous Optimization

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