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Title

Modified Bat Algorithm for Nonlinear Optimization

Author

Kazimierz Kiełkowicz, Damian Grela

Citation

Vol. 16  No. 10  pp. 46-50

Abstract

Bat Algorithm is recently proposed bio-inspired metaheuristics method for solving hard optimization tasks. It mimics behavior of bats hunting for their prey. The paper introduces some modification to Bat Algorithm. Presented modification changes exploration process as well as introduce different scheme of acceptance of a newly founded solutions. Effects of introduced modifications are tested on standard benchmark functions. The influence of a number of bats used in optimization process is also taken into account.

Keywords

Bat algorithm, swarm intelligence, metaheuristics, optimization.

URL

http://paper.ijcsns.org/07_book/201610/20161008.pdf