Improved chicken swarm optimization

  title={Improved chicken swarm optimization},
  author={Dinghui Wu and Fei Kong and Wenzhong Gao and Yanxia Shen and Zhicheng Ji},
  journal={2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)},
Considering the problem that the original chicken swarm optimization algorithm is easy to fall into local optimum because of premature convergence for high-dimensional complex problems, an improved chicken swarm optimization was proposed. In this algorithm, the part of chicks learning from the rooster in their subgroup is added to chick's position update equation, and the inertia weight and learning factor are also introduced. Then eight benchmark functions are used to test the proposed… CONTINUE READING


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