A new approach to particle swarm optimization algorithm

作者：

Highlights：

• The new base algorithm and two new different result algorithms are proposed.

• New mechanisms of algorithm operation are discussed.

• Lack of influence of environment functions is presented.

• Lack of stagnation – overexploitation initiates exploration.

• The algorithm work is characterized by a low cost.

摘要

•The new base algorithm and two new different result algorithms are proposed.•New mechanisms of algorithm operation are discussed.•Lack of influence of environment functions is presented.•Lack of stagnation – overexploitation initiates exploration.•The algorithm work is characterized by a low cost.

论文关键词：Co-evolutionary systems,PSO algorithm,Predator–prey algorithm,Immune algorithm,Optimization method,Games,Artificial intelligence,Entropy,Multifractal analysis

论文评审过程：Available online 5 August 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.07.034