Design of a Cultural Algorithm based on an Improved Evolutionary Programming to Solve Constrained Optimization Problems
A cultural algorithm is analyzed and designed. The application of this algorithm for solving complex constrained optimization problems has also been discussed.In this approach, an improved evolutionary programming is used as a population space, in which a shift factor is proposed; according to the corresponding population space,the knowledge sources contained in the belief space of cultural algorithm are specifically designed and are used to guide the evolutionary search. The approach not only can maintain quite nicely the population diversity, but also can help to converge to the global optimal solution rapidly,which is validated by some experimental results.
Constrained Optimization Evolutionary Computation Cultural Algorithm Evolutionary Programming
Sheng Liu Xingyu Wang Xiaoming You Sheng Liu
College of Information Science and Engineering, East China University of Science and Technology Shan School of Management, Shanghai University of Engineering Science Shanghai 200065, China
国际会议
杭州
英文
474-477
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）