CAJ | 학술논문

文化进化算法(MA)是基于人类社会文化知识演变过程的新算法,它模拟微观种群与宏观信仰知识两个层面的进化,通过模拟人类社会文化进化机制实现文化空间的进化与更新,并通过上层文化空间的经验知识指导下层群体的进化搜索方向及步长,最终形成"双演化双促进"的机制.将文化进化算法应用于求解小水电优化调度数学模型,用Matlab编程实例仿真,结果表明用此算法求解小水电调度优化问题是可行的.经比较,文化进化算法的搜索性能优于遗传算法(GA)和混合遗传算(HGA)等,是一个值得研究的方向.
문화진화산법(MA)시기우인류사회문화지식연변과정적신산법,타모의미관충군여굉관신앙지식량개층면적진화,통과모의인류사회문화진화궤제실현문화공간적진화여경신,병통과상층문화공간적경험지식지도하층군체적진화수색방향급보장,최종형성"쌍연화쌍촉진"적궤제.장문화진화산법응용우구해소수전우화조도수학모형,용Matlab편정실례방진,결과표명용차산법구해소수전조도우화문제시가행적.경비교,문화진화산법적수색성능우우유전산법(GA)화혼합유전산(HGA)등,시일개치득연구적방향.
Memetic Algorithm is a new algorithm based on the evolving process of human social culture and knowledge. The Memetic Algorithm (MA) is an intelligent optimization algorithm of multi-evolving processes, in which a mechanism for double evolving and promoting is formed through simulating the mutual evolvements between micro-colony and macro-beliof,through simulating cultural evolvement mechanism of human society to realize the evolvement and updating of cultural space and using experience knowledge of superstructure cultural space to guide the evolvement direction and path of underolass colony. This algorithm was applied to solve the optimal dispatching mathematic model of small hydropewer station, and it also simulated an actual project with Matlab programming The results showed that it is feasible for the MA to solve the optimal dispatching problem of small hydropawer. Compared with those results from genetic algorithm (GA) and hybrid genetic algorithm (HGA), it is shown that MA's search performance is the best, and it is a valuable research direction.