Fuzzy Metaheuristics: A State-of-the-Art Review

Alkan, Nurşah; Kahraman, Cengiz

doi:10.1007/978-3-030-51156-2_168

Advances in Intelligent Systems and Computing

2020

DOI: 10.1007/978-3-030-51156-2_168

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Fuzzy Metaheuristics: A State-of-the-Art Review

Nurşah Alkan

Cengiz Kahraman

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2023

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Cited by 2 publications

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“…However, it can also be used towards predicting wave parameters [60], of greater interest to the scope of this paper, or WEC design and deployment decision-making [61], as well as being employed alongside In the wave energy field of research, FL can be employed, for instance, towards configuring control systems for optimal WEC operation [59]. However, it can also be used towards predicting wave parameters [60], of greater interest to the scope of this paper, or WEC design and deployment decision-making [61], as well as being employed alongside metaheuristic-driven optimization algorithms [62]. As such, although regarded, in this paper, as a "direct algorithm", it can be applied in indirect optimization problems.…”

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Advancements on Optimization Algorithms Applied to Wave Energy Assessment: An Overview on Wave Climate and Energy Resource

et al. 2023

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The wave energy sector has not reached a sufficient level of maturity for commercial competitiveness, thus requiring further efforts towards optimizing existing technologies and making wave energy a viable alternative to bolster energy mixes. Usually, these efforts are supported by physical and numerical modelling of complex physical phenomena, which require extensive resources and time to obtain reliable, yet limited results. To complement these approaches, artificial-intelligence-based techniques (AI) are gaining increasing interest, given their computational speed and capability of searching large solution spaces and/or identifying key study patterns. Under this scope, this paper presents a comprehensive review on the use of computational systems and AI-based techniques to wave climate and energy resource studies. The paper reviews different optimization methods, analyses their application to extreme events and examines their use in wave propagation and forecasting, which are pivotal towards ensuring survivability and assessing the local wave operational conditions, respectively. The use of AI has shown promising results in improving the efficiency, accuracy and reliability of wave predictions and can enable a more thorough and automated sweep of alternative design solutions, within a more reasonable timeframe and at a lower computational cost. However, the particularities of each case study still limit generalizations, although some application patterns have been identified—such as the frequent use of neural networks.

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Advancements on Optimization Algorithms Applied to Wave Energy Assessment: An Overview on Wave Climate and Energy Resource

et al. 2023

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African vultures optimization algorithm based Choquet fuzzy integral for global optimization and engineering design problems

Nssibi,

Manita,

Faux

et al. 2023

Artif Intell Rev

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Fuzzy Metaheuristics: A State-of-the-Art Review

Cited by 2 publications

References 17 publications

Advancements on Optimization Algorithms Applied to Wave Energy Assessment: An Overview on Wave Climate and Energy Resource

Advancements on Optimization Algorithms Applied to Wave Energy Assessment: An Overview on Wave Climate and Energy Resource

African vultures optimization algorithm based Choquet fuzzy integral for global optimization and engineering design problems

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