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首页> 外文期刊>International Journal of Swarm Intelligence and Evolutionary Computation >Labor Division Artificial Bee Colony Algorithm for Numerical Function Optimization
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Labor Division Artificial Bee Colony Algorithm for Numerical Function Optimization

机译：用于数值函数优化的分工人工蜂群算法

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摘要

Swarm intelligence is briefly defined as the collective behavior of decentralized and self-organized swarms. Self-organization and labor division are the two key components of swarm intelligence. Artificial Bee Colony (ABC) algorithm is one of the most recent swarm intelligence-based algorithms. The behavior of bees in ABC algorithm satisfies the self-organization features, but there is no specific labor division mechanism in ABC algorithm. In this work, we propose an improved ABC algorithm called labor division artificial bee colony (LDABC) algorithm by incorporating the labor division mechanism into ABC algorithm, which is achieved by individual specialization and role plasticity. We specify three different search methods for employed bees, onlooker bees and scout bees to realize individual specialization, these search methods are related to food source quality, enable bees to maximize exploitation of food source. Role plasticity is achieved by combining with cellular automata, where the roles of bees are not static but vary with their surrounding environment, enable bees not to limit to one search method. The different search modes and the flexibility of the search behaviors make our algorithm achieve a better balance between exploration and exploitation. The experimental results tested on 13 benchmark functions and CEC-2013 test functions demonstrate a competitive performance.
机译：群体智能被简单地定义为分散和自组织群体的集体行为。自组织和分工是群体智能的两个关键组成部分。人工蜂群（ABC）算法是最新的基于群体智能的算法之一。蜜蜂在ABC算法中的行为满足自组织特征，但是ABC算法中没有特定的分工机制。在这项工作中，我们通过将分工机制结合到ABC算法中，提出了一种改进的ABC算法，称为分工人工蜂群（LDABC）算法，这是通过个体专业化和角色可塑性实现的。我们为受雇蜂指定了三种不同的搜索方法，即围观蜂和侦察蜂，以实现个体化专业化，这些搜索方法与食物来源质量有关，使蜜蜂能够最大程度地利用食物来源。通过与细胞自动机相结合来实现角色可塑性，在这种方法中，蜜蜂的角色不是静态的，而是随周围环境的变化而变化，从而使蜜蜂不限于一种搜索方法。不同的搜索模式和搜索行为的灵活性使我们的算法在探索与开发之间取得了更好的平衡。在13个基准功能和CEC-2013测试功能上测试的实验结果证明了其出色的性能。

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