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The Design of Contactors Based on the Niching Multiobjective Particle Swarm Optimization
Published 2018-01-01“…Contactors are important components in circuits. To solve the multiobjective optimization problems (MOPs) of contactors, a niching multiobjective particle swarm optimization (NMOPSO) with the entropy weight ideal point theory is proposed in this paper. …”
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The Multiobjective Control Based on Tolerance Optimization in a Multienergy System
Published 2024-01-01“…To address the issue of multiobjective control in multienergy systems with diverse operational objectives, a two-stage optimization framework based on expected point tolerance has been proposed in this paper. …”
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A Multiobjective Brain Storm Optimization Algorithm Based on Decomposition
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Multiobjective Optimization of SWISS Rectifier
Published 2021-02-01“…Aiming at the performance problem of SWISS rectifier, a multiobjective optimization method based on NonDominated Sorting in Genetic AlgorithmsII (NSGAII) is adopted. …”
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Dynamic Multiobjective Optimization Based on Multi-Environment Knowledge Selection and Transfer
Published 2024-11-01“…<i>Background:</i> Dynamic multiobjective optimization problems (DMOPs) involve multiple conflicting and time-varying objectives, and dynamic multiobjective algorithms (DMOAs) aim to find Pareto optima that are closer to the real one in the new environment as soon as possible. …”
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MODIFICATION OF FIREWORKS METHOD FOR MULTIOBJECTIVE OPTIMIZATION BASED ON NON-DOMINATED SORTING
Published 2019-06-01“…The article suggests a modification for numerical fireworks method of the single-objective optimization for solving the problem of multiobjective optimization. …”
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Intelligent Optimal Control of Sewage Treatment Based on Multiobjective Evolutionary Algorithm
Published 2022-01-01“…In order to solve the problem of optimal control of the sewage treatment process based on a multiobjective evolutionary algorithm, an intelligent optimal control of sewage treatment based on a multiobjective evolutionary algorithm is proposed in this paper. …”
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Multiobjective Optimization-Based Hyperspectral Unsupervised Band Selection for Anomaly Detection
Published 2025-01-01“…Band selection (BS) is a critical topic in hyperspectral image dimensionality reduction, focusing on identifying representative bands that can convey the essential information of the full bands without significant loss. Recently, BS based on multiobjective optimization (MO) has become the predominant method. …”
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Multiobjective Optimization of Copper Coil Blanking Based on Niche Genetic Algorithm
Published 2023-01-01“…Three algorithms, namely, adaptive particle swarm optimization, niche genetic algorithm based on crowding, and niche genetic algorithm based on seed retention (NGA), were used to solve the problem. …”
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A Decomposition-Based Harmony Search Algorithm for Multimodal Multiobjective Optimization
Published 2022-01-01“…Multimodal multiobjective optimization problem (MMOP) is a special kind of multiobjective optimization problem (MOP) with multimodal characteristics, where multiple different Pareto optimal sets (PSs) map to the same Pareto optimal front (PF). …”
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Local search-based heuristics for the multiobjective multidimensional knapsack problem
Published 2012-01-01“…The goal of the multiobjective combinatorial optimization (MOCO) is to optimize simultaneously r > 1 objectives. …”
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Local search-based heuristics for the multiobjective multidimensional knapsack problem
Published 2013-09-01“…The goal of the multiobjective combinatorial optimization (MOCO) is to optimize simultaneously r > 1 objectives. …”
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A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical Processes
Published 2018-01-01“…Moreover, the proposed algorithm is applied to solve 3 multiobjective optimal control problems in chemical processes. …”
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Retracted: Multiobjective Optimization Management of Construction Engineering Based on Ant Colony Algorithm
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Decomposition-Based Multiobjective Evolutionary Optimization with Adaptive Multiple Gaussian Process Models
Published 2020-01-01“…However, this approach only uses one standard Gaussian process model with fixed variance, which may not work well for solving various multiobjective optimization problems (MOPs). To alleviate this problem, this paper introduces a decomposition-based multiobjective evolutionary optimization with adaptive multiple Gaussian process models, aiming to provide a more effective heuristic search for various MOPs. …”
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Design of Winding Parameters Based on Multiobjective Decision-Making and Fuzzy Optimization Theory
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