Author/Authors :
Nama، Sukanta نويسنده Department of Mathematics, National Institute of Technology Agartala, Jirania, Agartala, Tripura-799046, India , , Saha، Apu Kumar نويسنده Department of Mathematics, National Institute of Technology Agartala, Jirania, Agartala, Tripura-799046, India , , Ghosh، Sima نويسنده Department of Civil Engineering, National Institute of Technology Agartala, Jirania, Agartala, Tripura-799046, India ,
Abstract :
Differential evolution (DE) is an effective and powerful approach and it has been widely used in different environments. However, the performance of DE is sensitive to the choice of control parameters. Thus, to obtain optimal performance, time-consuming parameter tuning is necessary. Backtracking Search Optimization Algorithm (BSA) is a new evolutionary algorithm (EA) for solving real-valued numerical optimization problems. An ensemble algorithm called E-BSADE is proposed which incorporates concepts from DE and BSA. The performance of E-BSADE is evaluated on several benchmark functions and is compared with basic DE, BSA and conventional DE mutation strategy. Also the performance results are compared with state of the art PSO variant.
