Performance Comparison of Cuckoo Search and Differential Evolution Algorithm for Constrained Optimization

International Engineering Research and Innovation Symposium

Solihin, Mahmud Iwan^1 ; Zanil, Mohd Fauzi^1

Faculty of Engineering, Technology and Built Environment, UCSI University, Malaysia^1

关键词: Benchmark functions;    Constrained optimi-zation problems;    Constraint handling;    Differential evolution algorithms;    Meta heuristic algorithm;    Optimization algorithms;    Performance comparison;    Stopping criteria;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/160/1/012108/pdf
DOI  :  10.1088/1757-899X/160/1/012108

来源: IOP

【 摘 要 】

Cuckoo Search (CS) and Differential Evolution (DE) algorithms are considerably robust meta-heuristic algorithms to solve constrained optimization problems. In this study, the performance of CS and DE are compared in solving the constrained optimization problem from selected benchmark functions. Selection of the benchmark functions are based on active or inactive constraints and dimensionality of variables (i.e. number of solution variable). In addition, a specific constraint handling and stopping criterion technique are adopted in the optimization algorithm. The results show, CS approach outperforms DE in term of repeatability and the quality of the optimum solutions.