摘要：The firefly algorithm (FA) is a swarm intelligenceoptimization algorithm based on the glow behavior of fireflies innature. The classic firefly algorithm has the problem that it iseasy to fall into the local optimum and the search accuracy isnot high in the later stage. An improved firefly algorithm basedon chaos mapping strategy was proposed to solve the quadraticassignment problem (QAP). The egocentricity of chaos justavoids the firefly algorithm from falling into the local optimum,enhances its search ability and solves the convergenceprematurely phenomenon of the firefly algorithm. Theimproved algorithm is compared with genetic algorithm (GA),particle swarm optimization (PSO) algorithm and the classicfirefly algorithm to solve the same quadratic assignmentproblems. The simulation experiments results verify theeffectiveness of the proposed algorithm.
