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Particle Swarm and Bacterial Foraging Inspired Hybrid Artificial Bee Colony Algorithm for Numerical Function Optimization

机译：用于数值函数优化的粒子群和细菌觅食灵感杂交人造蜂菌落算法

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Li Mao; Yu Mao; Changxi Zhou; Chaofeng Li; Xiao Wei; Hong Yang;
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1. Particle Swarm and Bacterial Foraging Inspired Hybrid Artificial Bee Colony Algorithm for Numerical Function Optimization [J] . Li Mao, Yu Mao, Changxi Zhou, Mathematical Problems in Engineering . 2016,第1期

机译：粒子群和细菌觅食启发的混合人工蜂群算法优化数值函数
2. Classification of Medical Datasets Using SVMs with Hybrid Evolutionary Algorithms Based on Endocrine-Based Particle Swarm Optimization and Artificial Bee Colony Algorithms [J] . Lin Kuan-Cheng, Hsieh Yi-Hsiu Journal of medical systems . 2015,第10期

机译：基于基于内分泌粒子群优化和人工蜂群算法的混合进化算法的支持向量机支持的医学数据集分类
3. A hybrid multi-objective tour route optimization algorithm based on particle swarm optimization and artificial bee colony optimization [J] . Beed Romit, Roy Arindam, Sarkar Sunita, Computational Intelligence . 2020,第3期

机译：一种基于粒子群优化和人工蜂菌落优化的混合多目标巡回路径优化算法
4. Hybrid artificial bee colony algorithm with chemotaxis behavior of bacterial foraging optimization algorithm [C] . Zhong Yiwen, Lin Juan, Ning Jing, 2011 Seventh International Conference on Natural Computation . 2011

机译：具有细菌觅食趋化行为的混合人工蜂群算法
5. Explorations in swarm algorithms: Hybrid particle swarm optimization and adaptive culture model algorithms. [D] . Noel, Mathew M. 2005

机译：群算法的探索：混合粒子群优化和自适应文化模型算法。
6. Cancer Classification Based on Support Vector Machine Optimized by Particle Swarm Optimization and Artificial Bee Colony [O] . Lingyun Gao, Mingquan Ye, Changrong Wu 2017

机译：基于粒子群优化和人工蜂群优化的支持向量机的癌症分类
7. A hybrid artificial bee colony algorithm for numerical function optimization [O] . Yan XH(晏晓辉), Zhu YL(朱云龙), Zou WP(邹文平) 2011

机译：用于数值函数优化的混合人工蜂群算法

Particle Swarm and Bacterial Foraging Inspired Hybrid Artificial Bee Colony Algorithm for Numerical Function Optimization

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