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Expensive Multiobjective Optimization Algorithm Based on Equivariate Component Analysis
IEEE Access, 2022 In order to reduce the cost of candidate solution evaluation in the process of solving expensive optimization problems, an expensive multi-objective optimization algorithm based on equivalence component analysis was proposed to study the influence of ...
Li Wenbin, Chai Zi'an, Gang Liu
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Algorithms, 2022 Deterioration of the searchability of Pareto dominance-based, many-objective evolutionary optimization algorithms is a well-known problem. Alternative solutions, such as scalarization-based and indicator-based approaches, have been proposed in the ...
Jean Ruppert +2 more
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Adaptive Cost Function FCSMPC for 6-Phase IMs
Energies, 2021 In this paper, an adaptive cost function FCSMPC is derived from newly obtained results concerning the distribution of figures of merits used for the assessment of stator current model-based control of multi-phase induction machines.
Manuel R. Arahal +3 more
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No-Betting-Pareto Dominance [PDF]
Econometrica, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gilboa +3 more
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Hybrid selection based multi/many-objective evolutionary algorithm
Scientific Reports, 2022 In the last decade, numerous multi/many-objective evolutionary algorithms (MOEAs) have been proposed to handle multi/many-objective problems (MOPs) with challenges such as discontinuous Pareto Front (PF), degenerate PF, etc.
Saykat Dutta +2 more
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Ranking Multi-Metric Scientific Achievements Using a Concept of Pareto Optimality
Mathematics, 2020 The ranking of multi-metric scientific achievements is a challenging task. For example, the scientific ranking of researchers utilizes two major types of indicators; namely, number of publications and citations.
Shahryar Rahnamayan +3 more
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Axioms, 2023 Multi-objective evolutionary algorithms mainly include the methods based on the Pareto dominance relationship and the methods based on decomposition.
Qingjian Ni, Xuying Kang
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A multi-objective optimization approach for online streaming feature selection using fuzzy Pareto dominance [PDF]
Journal of Mahani Mathematical Research, 2023 Feature selection is one of the most important tasks in machine learning. Traditional feature selection methods are inadequate for reducing the dimensionality of online data streams because they assume that the feature space is fixed and every time a ...
Amin Hashemi +2 more
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On Generalized Dominance Structures for Multi-Objective Optimization
Mathematical and Computational Applications, 2023 Various dominance structures have been proposed in the multi-objective optimization literature. However, a systematic procedure to understand their effect in determining the resulting optimal set for generic domination principles, besides the standard ...
Kalyanmoy Deb, Matthias Ehrgott
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Miner revenue optimization algorithm based on Pareto artificial bee colony in blockchain network
EURASIP Journal on Wireless Communications and Networking, 2021 In order to improve the revenue of attacking mining pools and miners under block withholding attack, we propose the miner revenue optimization algorithm (MROA) based on Pareto artificial bee colony in blockchain network.
Yourong Chen +6 more
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