원문정보
초록
영어
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.
목차
1. Introduction
2. Related Works
2.1. Bat Algorithm (BA)
2.2. Differential Evolution (DE)
2.3. The Feasibility-based Rules
3. Hybrid BA with DE strategy
3.1. The Basic Idea of BADE
3.2. Main Procedure of BADE
3.3. Computational Complexity of BADE
4. Validation and Comparison
4.1. Benchmark Problems
4.2. Applications of BADE in Engineering Design
5. Conclusion
Acknowledgements
References