An improved simplified swarm optimization

作者：

Highlights：

• A new simplified swarm optimization (iSSO) is proposed.

• The roles of the proposed UMs and iterative local search are also tested.

• Numerical examples conclude that iSSO outperforms ABC for 50 benchmark functions.

摘要

•A new simplified swarm optimization (iSSO) is proposed.•The roles of the proposed UMs and iterative local search are also tested.•Numerical examples conclude that iSSO outperforms ABC for 50 benchmark functions.

论文关键词：Swarm Intelligence (SI),Simplified Swarm Optimization (SSO),Artificial Bee Colony Algorithm (ABC),Soft Computing (SC),Optimization problems

论文评审过程：Received 3 February 2014, Revised 21 January 2015, Accepted 22 February 2015, Available online 4 March 2015.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.02.022