Abstract

Considering the problem that the original chicken swarm optimization algorithm ethnic diversity and easy to fall into local optimum problems, an improved chicken swarm optimization algorithm based on fireworks (FW-ICSO) algorithm was proposed. In this algorithm, roulette was introduced to die out some chickens, produce new chicken’s methods is implemented in fireworks algorithm, and adding an inertia factor to balance search capability. Finally, FW-ICSO is tested with twenty benchmark function and compared with other similar algorithms to confirm their effectiveness in terms of the accuracy and convergence rate of the results.

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