文件名称:ACO
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蚁群算法是一种新型的模拟进化算法,鉴于目前国内尚缺乏这一方面的研究,其研究刚刚开始,远未像遗传算法、模拟退火算法等算法那样行程系统的分析方法和坚实的数学基础,有许多问题有待进一步研究,如算法的收敛性、理论依据等更多细致的工作还有待于进一步展开。(The ant colony algorithm is a novel simulated evolutionary algorithm, given the current lack of the research on this aspect, the research has just started, not like genetic algorithm, simulated annealing algorithm analysis algorithm that travel system and a solid mathematical foundation, there are many problems to be further studied, such as the convergence, the theoretical basis of more detailed work needs to be further expanded.)
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下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
ACO\ca_tsp.m | 152 | 2013-10-19 |
ACO\cross_tsp_a.m | 377 | 2013-10-19 |
ACO\cross_tsp_b.m | 425 | 2013-10-19 |
ACO\cross_tsp_c.m | 443 | 2013-10-19 |
ACO\cross_tsp_d.m | 446 | 2013-10-19 |
ACO\mutation_a.m | 139 | 2013-10-19 |
ACO\mutation_b.m | 195 | 2013-10-19 |
ACO\mutation_c.m | 206 | 2013-10-19 |
ACO\mutation_d.m | 265 | 2013-10-19 |
ACO\y19_1.m | 2575 | 2013-10-19 |
ACO\y19_2.m | 3975 | 2013-10-19 |
ACO\第19章 基于AC0的TSP求解.ppt | 987136 | 2014-08-22 |
ACO | 0 | 2018-03-22 |