关键词: 免疫优化, 分解协调, 多Agent约束优化, 换热器系统, 精馏系统

Abstract: Confronted with the characters of the constraint systems of easy to trap into local optimization, a multi-agent constraint optimization algorithm（DCMACOA ）based on the decomposition and coordination method is proposed. Different from the traditional decomposition and coordination method, the algorithm selects association variables between subsystems as coordination variables, with the help of multi-agent and biological immune evolutionary ideas, each subsystem optimization and system coordination use multi-agent immune optimization method. The optimization search operators include: neighborhood clonal selection, neighborhood competition and neighborhood collaboration. Industrial process and optimization of heat exchanger simulation results show that compared with the traditional decomposition and coordination algorithm, DCMACOA can improve the global and local search performance, and has better global search results.

Key words: immune optimization, decomposition and coordination, multi-Agent immune constrained optimization, heat exchanger system, distillation system