Authors: Changtong Luo Bo Yu
Publish Date: 2011/02/18
Volume: 52, Issue: 1, Pages: 45-55
Abstract
This paper presents a new heuristic for global optimization named low dimensional simplex evolution LDSE It is a hybrid evolutionary algorithm It generates new individuals following the NelderMead algorithm and the individuals survive by the rule of natural selection However the simplices therein are realtime constructed and low dimensional The simplex operators are applied selectively and conditionally Every individual is updated in a framework of trytrytest The proposed algorithm is very easy to use Its efficiency has been studied with an extensive testbed of 50 test problems from the reference J Glob Optim 31635–672 2005 Numerical results show that LDSE outperforms an improved version of differential evolution DE considerably with respect to the convergence speed and reliability
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