摘要
将元胞演化规则与竞争决策算法相结合,提出了一种求解多目标0-1规划问题的元胞竞争决策算法.大量数据测试和验证表明,该算法能有效提高非劣解的分布性和多样性.
Combining the concepts of cellular automata with competitive decision algorithm,a cellular competitive decision algorithmfor multi-objectives 0-1 programming problem was presented.The algorithm was then used to solve many instances of multi-objectives 0-1 programming and the computational results show it can improve effectively the diversity and distribution of Pareto optimal set.
出处
《上海理工大学学报》
CAS
北大核心
2011年第2期163-167,共5页
Journal of University of Shanghai For Science and Technology
基金
国家自然科学基金资助项目(70871081)
上海市重点学科建设资助项目(S30504)
关键词
竞争决策算法
元胞自动机
多目标
0-1规划
competitive decision algorithm
cellular automata
multi-objectives
0-1 programming
