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New Surrogate Approaches Applied to Meta-Heuristic Algorithms
2020Surrogate can be defined as a mechanism capable of learning the behavior of a given objective function. As it is a regression problem, machine learning (ML) models are natural candidates to solve it. However, there is a lack of works comparing different machine learning techniques employed as surrogates.
Joel Alves de Oliveira +4 more
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Meta-heuristics Algorithms: A survey
International Journal of Engineering Trends and Technology, 2019Shereen Zaki, Abd El-Nasser H. Zaied
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Meta-Heuristics Algorithm for Computer Communications
Communication technology's advancement has revolutionized industries and shaped social norms by changing how we connect and communicate. Every technological development, from the earliest days of telegraphy to the present day of wireless connectivity and high-speed internet, has brought the world closer together.Krithikaa Venket +2 more
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Compare the Performance of Meta-Heuristics Algorithm
Metaheuristic algorithms have emerged as powerful optimization techniques capable of efficiently exploring complex solution spaces to find near-optimal solutions. This paper provides a comprehensive review and comparative analysis of several widely used metaheuristic algorithms, including genetic algorithms (GA), particle swarm optimization (PSO ...Shanmugapriya M., Manivannan K. K.
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Shuffled shepherd optimization method: a new Meta-heuristic algorithm
Engineering Computations, 2020A Kaveh, Ataollah Zaerreza
exaly
Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification
Energy Conversion and Management, 2020Bo Yang, Jingbo Wang, Xiaoshun Zhang
exaly