A Hybrid Artificial Bee Colony Algorithm Combined with Simulated Annealing Algorithm for Traveling Salesman Problem

Pei Shi, Suling Jia
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引用次数: 13

Abstract

In order to solve travelling salesman problem (TSP), a hybrid artificial bee colony algorithm combined with simulated annealing algorithm (HABC-SA) is presented for TSP. This algorithm gives a discrete coding method for food source position. Crossover and mutation operators in genetic algorithm are introduced into the new algorithm to do local search, Simulated annealing idea is applied in this hybrid artificial bee colony algorithm to increase the diversity of food sources. The proposed algorithm is tested on benchmark problems, and results show that this algorithm can avoid pre-maturity and advance constringency for TSP.
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结合模拟退火算法的混合人工蜂群算法求解旅行商问题
为了求解旅行商问题,提出了一种结合模拟退火算法的混合人工蜂群算法(HABC-SA)。该算法给出了一种食物源位置的离散编码方法。该算法在遗传算法中引入交叉和变异算子进行局部搜索,在混合人工蜂群算法中引入模拟退火思想,增加了食物来源的多样性。在基准问题上对该算法进行了测试,结果表明该算法可以避免TSP的早熟和提前收敛性。
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