计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2015年
11期
218-222,227
,共6页
免疫优化%分解协调%多Agent约束优化%换热器系统%精馏系统
免疫優化%分解協調%多Agent約束優化%換熱器繫統%精餾繫統
면역우화%분해협조%다Agent약속우화%환열기계통%정류계통
immune optimization%decomposition and coordination%multi-Agent immune constrained optimization%heat exchanger system%distillation system
针对约束优化系统易陷局部优化的问题，提出了基于分解协调的多Agent约束优化算法（DCMACOA）。对可分系统，不同于传统的分解协调算法，DCMACOA选用各子系统间的关联变量为协调变量，借助于多Agent及生物免疫的进化思想，对各子系统优化及系统协调采用了多Agent免疫优化方法，优化搜索算子主要包括：邻域克隆选择、邻域竞争及邻域协作。工业流程和换热器面积优化仿真实例表明，相比传统的分解协调算法，DCMACOA能改善整体与局部的搜索性能，提高对可分系统的约束优化求解能力，具有较好的全局搜索性能。
針對約束優化繫統易陷跼部優化的問題，提齣瞭基于分解協調的多Agent約束優化算法（DCMACOA）。對可分繫統，不同于傳統的分解協調算法，DCMACOA選用各子繫統間的關聯變量為協調變量，藉助于多Agent及生物免疫的進化思想，對各子繫統優化及繫統協調採用瞭多Agent免疫優化方法，優化搜索算子主要包括：鄰域剋隆選擇、鄰域競爭及鄰域協作。工業流程和換熱器麵積優化倣真實例錶明，相比傳統的分解協調算法，DCMACOA能改善整體與跼部的搜索性能，提高對可分繫統的約束優化求解能力，具有較好的全跼搜索性能。
침대약속우화계통역함국부우화적문제，제출료기우분해협조적다Agent약속우화산법（DCMACOA）。대가분계통，불동우전통적분해협조산법，DCMACOA선용각자계통간적관련변량위협조변량，차조우다Agent급생물면역적진화사상，대각자계통우화급계통협조채용료다Agent면역우화방법，우화수색산자주요포괄：린역극륭선택、린역경쟁급린역협작。공업류정화환열기면적우화방진실례표명，상비전통적분해협조산법，DCMACOA능개선정체여국부적수색성능，제고대가분계통적약속우화구해능력，구유교호적전국수색성능。
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. Differ-ent from the traditional decomposition and coordination method, the algorithm selects association variables between sub-systems 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.
