摘要
为寻求复杂多峰函数的全局最优解问题，提出了新型混合算法。该算法由带共享函数的遗传算法、移民技术、聚类算法和改进的Ｐｏｗｅｌ算法组成。由于上述算法的有机配合，提高了混合算法的全局和局部搜索能力。
In order to seek the global optimal solution for complex multimodal functions, a new type of hybrid algorithms is advanced. The algorithm is consisted of genetic algorithm with sharing, immigrant technique, clustering algorithms and modification for Powell′s method. Because aforesaid algorithms cooperate organically and distribute their own merit, the capability of global and local search of hybrid algorithms is improved. Practical examples of oil reservoir systems and simulation examples prove the effectiveness of the algorithm.
出处
《控制与决策》
EI
CSCD
北大核心
1999年第2期185-188,共4页
Control and Decision
基金
黑龙江省自然科学基金
石油天然气总公司中青年创新基金
关键词
进化算法
遗传算法
聚类算法
多峰函数优化
evolution algorithms, genetic algorithms, clustering algorithms, Powell′s method, multimodal function optimization
