Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference73 articles.
1. Comparative analysis of low discrepancy sequence-based initialization approaches using population-based algorithms for solving the global optimization problems;Bangyal;Applied Sciences,2021
2. A review of population-based meta-heuristic algorithms;Beheshti;International Journal of Advances in Soft Computing Applications,2013
3. An improved parent-centric mutation with normalized neighborhoods for inducing niching behavior in differential evolution;Biswas;IEEE Transactions on Cybernetics,2014
4. Biswas, S., Saha, D., De, S., Cobb, A. D., Das, S., & Jalaian, B. A. (2021). Improving differential evolution through Bayesian hyperparameter optimization. In 2021 IEEE Congress on evolutionary computation (CEC) (pp. 832-840). IEEE. https://doi.org/10.1109/CEC45853.2021.9504792.
5. Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark problems;Brest;IEEE Transactions on Evolutionary Computation,2006
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献