A Modified Differential Evolution for Constrained Optimization
This paper proposes a hybrid differentiaI evolution method to solve constrained optimization problems.in the proposed method,we apply chaos theory to obtain self-adaptive parameter settings associated with DE.In order to handle constraint effectively.comparisons among feasible and infeasible solutions are made SO as to provide a search direction towards the feasible region.Furthermore,a simple feasibility-based selection comparison technique is devised to guide the process toward the feasible region of the search space.The performance of the proposed method has been examined bv its application to thirteen test cases,which were widely studied benchmark constrained optimization problems in Iiterature.The results are very competitive with respect to three state-of-the-art evolutionary optimization algorithms and show that the proposed method is effective for handling constraints.
Differential evolution chaos constrained optimization constraint handling
Xiaohui Yuan Bo Cao Bo Yang Yanbin Yuan
国际会议
The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)
成都
英文
19-22
2007-12-19（万方平台首次上网日期，不代表论文的发表时间）