Evolutionary Algorithms for Real Time Engineering Problems: A Comprehensive Review
| Autor: | Sankaranarayanan Saravanan, Madala Prameela, Neerudi Bhoopal, Devineni Gireesh Kumar, Idamakanti Kasireddy, Aman Ganesh, Dsnmrao |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Ingénierie des systèmes d information. 26:179-190 |
| ISSN: | 2116-7125 1633-1311 |
| DOI: | 10.18280/isi.260205 |
| Popis: | This paper presents a variety of contemporary optimization techniques inspired by the real life in nature. Optimization reveals substantial developments in computing systems as well as has come to be the most encouraging strategy for several design applications. The study is conducted on single-objective, multi-objective, and hybrid optimization strategies. These optimization schemes will be of excellent help to organizations to identify optimum criteria and to improve process as well as product high quality. For selected optimization strategies, the process of formulating the objective function/stiffness function for a minimal issue exists. Over the last few years, the most combinatoric problems of all traditional optimization approaches were solved by using metaheuristic algorithms to have optimal solutions for real-time applications. This paper discussed some of the important and feasible optimization scheme and the related algorithms and approaches. |
| Databáze: | OpenAIRE |
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