Hybrid Constrained Evolutionary Algorithm for Numerical Optimization Problems

Authors : Wali Khan MASHWANİ, Alam ZAİB, Özgür YENİAY, Habib SHAH, Naseer Mansoor TAİRAN, Muhammad SULAİMAN

Pages : 931-950

View : 30 | Download : 7

Publication Date : 2019-06-15

Article Type : Research Paper

Abstract :Constrained optimization are naturally arises in many real-life applications, and is therefore gaining a constantly growing attention of the researchers.Evolutionary algorithms are not directly applied on constrained optimization problems. However, different constraint-handling techniques are incorporated in their framework to adopt it for dealing with constrained environments. This paper suggests an hybrid constrained evolutionary algorithm insert ignore into journalissuearticles values(HCEA); that employs two penalty functions simultaneously. The suggested HCEA has two versions namely HCEA-static and HCEA-adaptive. The performance of the HCEA-static and HCEA-adaptive algorithms are examined upon the constrained benchmark functions that are recently designed for the special session of the $2006$ IEEE Conference of Evolutionary Computation insert ignore into journalissuearticles values(IEEE-CEC`06);. The experimental results of the suggested algorithms are much promising as compared to one of the recent constrained version of the JADE. The converging behaviour of the both suggested algorithms on each benchmark function is encouraging and promising in most cases.
Keywords : Constrained Functions, Evolutionary Computation EC, Evolutionary Algorithm EA, and Hybrid EAs