| 基于内分泌思想的改进粒子群算法 |
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| 作者单位： | 淮北煤炭师范学院物理与电子信息学院，安徽商贸职业技术学院计算机系 |
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| 摘 要： | 借鉴神经系统和内分泌系统对行为的高级调节作用,结合传统粒子群算法的原理,设计一种新的改进粒子群算法,充分考虑粒子周围的环境,引入内分泌调节项,对粒子的飞翔方程进行修改,达到改善粒子群算法的性能。为验证算法的有效性,将其与Dijkstra算法结合,实现机器人全局路径规划。结果表明,此方法比传统粒子群算法有较好的性能。
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| 关 键 词： | 机器人 路径规划 内分泌粒子群算法 神经系统 |
An Improved Particle Swarm Algorithm Based on Endocrine Idea |
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| Authors: | CHEN De-bao LI Qing LI Qun LI Zheng |
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| Affiliation: | CHEN De-bao1,LI Qing2,LI Qun1,LI Zheng1 |
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| Abstract: | An improved particle swarm optimization algorithm,which is based on the regulation principle of neural system and endocrine system to behavior of biology,is proposed in the paper.The environment around swarms and incretion factors are used to modify the updating equations of particle swarm,and the performance of particle swarm optimization is improved.In order to indicate the effectiveness of the proposed algorithm,the simulation experiment for global path planning of robot with combination with Dijkstra algorithm is presented.The results indicated that proposed algorithm has better performance than conventional particle swarm algorithm. |
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| Keywords: | robot path planning endocrine particle swarm algorithm neural system |
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