An optimisation algorithm based on the behaviour of locust swarms
by Erik Cuevas; Adrián González; Daniel Zaldívar; Marco Pérez-Cisneros
International Journal of Bio-Inspired Computation (IJBIC), Vol. 7, No. 6, 2015

Abstract: In this paper, a novel swarm algorithm called locust search (LS) is proposed for solving optimisation tasks. The LS algorithm is based on the simulation of the behaviour presented in swarms of locusts. In the proposed algorithm, individuals emulate a group of locusts which interact to each other based on the biological laws of the cooperative swarm. Experimental results demonstrate a high performance of the proposed method for searching a global optimum in comparison with other well-known evolutionary methods.

Online publication date: Thu, 26-Nov-2015

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