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This paper presents a novel particle swarm optimization (PSO) algorithm to enhance the performance of PSO. The proposed approach, called self-adaptive hybrid PSO (SHPSO), employs a self-adaptive inertial weight factor to lead the search direction of the population and generate good candidate solutions, next uses BFGS method to improve the local search ability of the algorithm. In order to verify the...
A hybrid ant colony algorithm (HACO) which is containing ant colony algorithm (ACO) and delete-cross method which is used to speed the convergence of local search is presented for the shortcoming that the convergence speed of ant colony algorithm (ACO) is a bit slow. The experiment results have indicated that HACO has better performance than six versions of ant colony algorithm (ACO) on searching...
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