吉林大学学报（理学版）2019，Vol.57Issue(5)：1155-1162,8.DOI:10.13413/j.cnki.jdxblxb.2018360
一种双种群协同多目标粒子群优化算法及应用
Dual‐Population Cooperative Multi‐objective Particle Swarm Optimization Algorithm and Its Application
摘要
Abstract
Aiming at the problems of difficult oilfield exploitation and low economic efficiency in China , w e established a m ulti‐objective oilfield exploitation optimization model w ith profit maximization as the optimization index and annual oil‐increasing target ,liquid addition target and injection target .Dual‐population cooperative multi‐objective particle sw arm optimization algorithm w as used to solve the optimization model .T he algorithm expanded the search space by the dual‐population co‐evolution strategy ,improved the global search ability of the algorithm ,and com bined Lévy flight to ensure the diversity of the population and enhance the convergence efficiency of the algorithm .T he experimental results show that the proposed algorithm can effectively solve the oilfield exploitation optimization model ,and can optimize the results satisfying the target and constraints .关键词
双种群/粒子群优化算法/多目标优化/Lévy飞行/进化策略Key words
dual‐population / particle swarm optimization algorithm / multi‐objective optimization /Lévy flight /evolutionary strategy分类
信息技术与安全科学引用本文复制引用
郭玉洁,张强,袁和平..一种双种群协同多目标粒子群优化算法及应用[J].吉林大学学报（理学版）,2019,57(5):1155-1162,8.基金项目
国家自然科学基金(批准号:61702093)和黑龙江省自然科学基金(批准号:F2018003). （批准号:61702093）
