Advanced Metaheuristic Algorithms on Solving Multimodal Functions: Experimental Analyses and Performance Evaluations
| Autor: | Yiğit Çağatay Kuyu, Fahri Vatansever |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Optimization problem
business.industry Computer science Applied Mathematics Context (language use) 02 engineering and technology Machine learning computer.software_genre 01 natural sciences Computer Science Applications 010101 applied mathematics Range (mathematics) Metaheuristic algorithms Friedman test 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence 0101 mathematics business Global optimization computer Metaheuristic Strengths and weaknesses |
| Zdroj: | Archives of Computational Methods in Engineering. 28:4861-4873 |
| ISSN: | 1886-1784 1134-3060 |
| Popis: | Optimization problems encountered in real-world have multiple local minimums. Multimodal functions can well represent many real-world applications as they include two or more local minimum points in nature. Numerous metaheuristic algorithms aim to find the best balance between exploration and exploitation, and better algorithms have been developed during the search for such a balance. Therefore, it becomes necessary to answer the question: Which metaheuristic algorithm is the best-suited algorithm among the metaheuristics that have been developed? This study presents a comprehensive and fair investigation of the seven metaheuristic algorithms developed in the last five years on twenty multimodal functions with a wide range of dimensions commonly used in literature. Each is subject to the same initial conditions but with three different performance criteria. The strengths and weaknesses of the each algorithm were demonstrated for each criterion and the experimental results were analyzed statistically by using the Friedman test. Furthermore, to the best of our knowledge, this is the first attempt to address these challenging problems, in combination with these algorithms and performance metrics, which can also give a further insight to the researchers for choosing appropriate algorithms in the context of global optimization. |
| Databáze: | OpenAIRE |
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