CAJ | 학술논문

应用多种群改进差分进化算法求解环境／经济电力调度（ Environmental／Economic Dis-patch， EED）这一多目标优化问题。将多种群策略引入差分进化算法，有助于保持群体多样性，有效避免经典差分进化算法的早熟收敛问题。采用自适应变异因子及交叉因子，使算法在搜索初期保持全局搜索能力，在搜索后期增强局部搜索能力，加快收敛速度。将该算法应用到IEEE 30节点－6机组系统的环境／经济调度优化，仿真计算结果以及与其他算法的对比分析验证了该算法的有效性。
응용다충군개진차분진화산법구해배경／경제전력조도（ Environmental／Economic Dis-patch， EED）저일다목표우화문제。장다충군책략인입차분진화산법，유조우보지군체다양성，유효피면경전차분진화산법적조숙수렴문제。채용자괄응변이인자급교차인자，사산법재수색초기보지전국수색능력，재수색후기증강국부수색능력，가쾌수렴속도。장해산법응용도IEEE 30절점－6궤조계통적배경／경제조도우화，방진계산결과이급여기타산법적대비분석험증료해산법적유효성。
A multi-tribe modified differential evolution algorithm is presented for solving environmental /economic dispatch(EED)multi-objective optimization problem.The multi-tribe strategy is introduced into differential evolution algorithm , to maintain the diversity of the group , and effectively avoid the premature convergence problem in classical differential evolution algorithm .The adaptive mutation and crossover factors are used to keep the global searching ability in the early stage , and to enhance the local searching ability in the late stage to accelerate convergence .The algorithm is applied to obtain environmental/economic power dispatch optimization solutions for the IEEE 30-bus system and 6-unit system.The results obtained are compared with other algorithms to verify the effectiveness of the proposed algorithm .