A novel hybrid Bat Algorithm with Differential Evolution strategy for constrained optimization

作者：Meng Xianbing; Gao X Z; Liu Yu

来源：International Journal of Hybrid Information Technology, 2015, 8(1): 383-396.

DOI：10.14257/ijhit.2015.8.1.34

• Bat algorithms
• Bench-mark problems
• Constrained optimi-zation problems
• Differential Evolution
• Differential evolution strategy
• Feasibility-based rules
• Living environment
• Optimization method

A novel hybrid Bat Algorithm (BA) with the Differential Evolution (DE) strategy using the feasibility-based rules, namely BADE is proposed to deal with the constrained optimization problems. The sound interferences induced by other things are inevitable for the bats which rely on the echolocation to detect and localize the things. Through integration of the DE strategy with BA, the insects’interferences for the bats can be effectively mimicked by BADE. Moreover, the bats swarm’mean velocity is simulated as the other bats’effects on each bat. Having considered the living environments the bats inhabit, the virtual bats can be lifelike. Experiments on some benchmark problems and engineering designs demonstrate that BADE performs more efficient, accurate, and robust than the original BA, DE, and some other optimization methods.

• 出版日期2015
• 单位上海海事大学; Aalto University School of Electrical Engineering