基于多机制梦境优化算法求解经济调度问题

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中图分类号：TP301.6；TM743 文献标识码：A文章编号：2096-4706（2026）03-0116-06

Solving Economic Dispatch Problem Based on Multi-mechanism Dream Optimization Algorithm

MENG Tuanxing， WANG Xiang （Guangxi Vocational and Technical Institute ofIndustry，Nanning 53o1oo， China）

Abstract：To addressthe problems of weak ability to escape from localoptima and low solution accuracy existing in curent algorithms when solving the Economic Dispatch Problem，this paper proposesa multi-mechanism Dream Optimization Algorithm.This algorithmenhances global explorationabilitybyintroducingadiferential mutation mechanism，improves local exploitation accuracy by adopting a Gaussan mutation mechanism，combines an improved memory forgeting and supplementation mechanism to further promote optimization performance，andrealizes adynamic balance between global and local search abilies byaidofaroulete whelselectionmechanism.Theexperimentalresults basedona40-unit economic dispatchmodelindicate thatcompared with traditional optimizationalgorithmsandother meta-heuristicalgorithms，this algorithmshowssignificant improvement inescaping fromlocaloptimaandconvergenceacuracyofthe solution.The fuelcost of the obtained optimal solution is reduced by at least 2.16% ，which verifies its effectivenessand engineering application value in the Economic Dispatch Problem.

KeyWords： Economic Dispatch Problem; Dream Optimization Algorithm; Gaussian mutation; diferential mutation： roulette wheel selection

0 引言

随着能源需求持续增长与传统资源日趋稀缺，保障能源供应与降低燃料消耗之间的矛盾日益突出。（剩余5084字）