Development of a PSO Modification with Varying Cognitive Term

Y. Romasevych, V. Loveikin, Yu. V. Loveikin
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引用次数: 1

Abstract

A new modification of particle swarm optimization (PSO) was developed in the work. It involves changing the cognitive term of a particle movement. The frequency of such changing through iterations execution is considered as an additional parameter to tune. A reasonable range of the parameter was stated in the work. A comparative study supported the superiority of the developed PSO modification. In addition, its mature performance showed the efficiency of the algorithm iterations number increasing.
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具有不同认知术语的PSO修饰的发展
本文提出了一种新的粒子群优化方法。它涉及到改变粒子运动的认知术语。通过迭代执行进行此类更改的频率被视为需要调优的附加参数。在工作中提出了合理的参数范围。一项比较研究支持了所开发的PSO改性的优越性。此外,其成熟的性能表明算法迭代次数的效率不断提高。
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