The optimization of truss structures is a complex computing problem with many local minima, while metaheuristics are naturally suited to deal with multimodal problems without the need of gradient information. The Coyote Optimization Algorithm (COA) is a population-based nature-inspired metaheuristic of ...
Coyote Optimization Algorithm (COA) is classified as both swarm intelligence and evolutionary heuristic algorithms. However, getting trapped in a poor local optimum and the low convergence speed are the weaknesses of COA obviously. Due to these weaknesses, this paper proposes a new algorithm named ...
The optimization of truss structures is a complex computing problem with many local minima, while metaheuristics are naturally suited to deal with multimodal problems without the need of gradient information. The Coyote Optimization Algorithm (COA) is a population-based nature-inspired metaheuristic of ...
Hence, we propose a novel method known as chaotic coyote optimization algorithm (COA) based time weight-AdaBoost support vector machine (SVM) approach which can be used to attain the precise classifications in context. The proposed time weight-AdaBoost SVM can be used to circumvent the drift ...
To explore the application prospect of the MHOA in the model-free prediction of chaotic systems, four MHOAs (chaotic coyote optimization, grey wolf optimizer, selective opposition grey wolf optimization and marine predator algorithm) are selected for comparative experiments in four chaotic systems (R...
Cultural coyote optimization algorithm applied to a heavy duty gas turbine operation. Energy Convers. Manag. 2019, 199, 111932. [Google Scholar] [CrossRef] Klein, C.E.; Coelho, L.S. Meerkats-inspired algorithm for global optimization problems. In Proceedings of the 26th European Symposium on ...
Chaotic coyote algorithm applied to truss optimization problems. Comput. Struct. 2021, 242, 106353. [CrossRef] 7. Saxena, A.; Kumar, R.; Das, S. β-Chaotic map enabled Grey Wolf Optimizer. Appl. Soft Comput. 2019, 75, 84–105. [CrossRef] 8. Ewees, A.A.; Elaziz, M.A. ...