A novel meta-heuristic optimization algorithm inspired by group hunting of animals: Hunting search
Computers & Mathematics with Applications
A group search optimizer for neural network training
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A novel genetic algorithm based on immunity
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Bat algorithm(BA) is a new swarm intelligence optimization algorithm. However, bat algorithm has the obvious phenomenon of the premature convergence problem and is easily trapped into local optimum. In order to overcome the shortcoming of the BA algorithm, we proposed an improved bat algorithm called bat algorithm with recollection(RBA). Experiment were conducted on some benchmark functions. The experimental results show that the RBA can effectively avoid the premature convergence problem and has a good performance of global convergence property.