Showing 41 - 60 results of 315 for search '(biased OR based) multiobjective optimization', query time: 0.12s Refine Results
  1. 41

    A parallel large-scale multiobjective evolutionary algorithm based on two-space decomposition by Feng Yin, Bin Cao

    Published 2025-03-01
    “…Abstract Decomposition is an effective and popular strategy used by evolutionary algorithms to solve multiobjective optimization problems (MOPs). It can reduce the difficulty of directly solving MOPs, increase the diversity of the obtained solutions, and facilitate parallel computing. …”
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    FixedSum: A Novel Algorithm for Generating Weight Vectors in Decomposition-Based Multiobjective Optimization by Syed Zaffar Qasim, Muhammad Ali Ismail

    Published 2025-01-01
    “…Many multiobjective optimization algorithms employ weight vectors (WVs) for decomposing a problem into multiple subproblems. …”
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    Multiobjective Optimization Method and Application of Tolerance Allocation for the Steam Turbine Based on Cooperative Game Theory by Li-li Li, Kun Chen, Jian-min Gao, Jun-kong Liu, Zhi-yong Gao, Man-xian Wang

    Published 2021-01-01
    “…Take the quality level and cost level of the assembly product as the optimization goals, complete the calculation of the utilities of the two game parties, and establish the multiobjective optimization model of tolerance allocation based on cooperative game theory. …”
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  12. 52

    Multiobjective Demand Double-Layer Energy Consumption Optimization Strategy for Microgrid Based on Improved HPSOFA by Bin Zhang, Jue Wang, Bo Li

    Published 2023-01-01
    “…In order to optimize the economy and environmental protection of microgrid, this paper establishes a demand response model based on comprehensive satisfaction, combines the advantages of the classical multiobjective particle swarm algorithm and multiobjective firefly algorithm, and proposes a hybrid particle swarm optimization and firefly algorithm (HPSOFA) to solve the joint economic and environmental dispatch problem of microgrid and improve the wind and light consumption capacity. …”
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    Exact Penalization and Necessary Optimality Conditions for Multiobjective Optimization Problems with Equilibrium Constraints by Shengkun Zhu, Shengjie Li

    Published 2014-01-01
    “…A calmness condition for a general multiobjective optimization problem with equilibrium constraints is proposed. …”
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    Multiobjective Optimization of Milling Parameters for Ultrahigh-Strength Steel AF1410 Based on the NSGA-II Method by Jin Xu, Fuwu Yan, Yan Li, Zhenchao Yang, Long Li

    Published 2020-01-01
    “…The influence of milling parameters (milling speed, each tooth feed, radial depth of cut, and axial depth of cut) on milling force and surface roughness is studied by ANOVA and established prediction model. Multiobjective optimization of milling parameters is accomplished based on nondominated sorting genetic algorithm II (NSGA-II) with milling force, surface roughness, and material removal rate as optimization objectives. …”
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  18. 58

    Multiobjective Reactive Power Optimization Planning for Medium Voltage Distribution Networks Based on Improved Genetic Algorithm by Min Li, Juncheng Zhang, Jing Tan, Xiaohong Tan, Lingjie Tang

    Published 2025-01-01
    “…In the process of increasing user demand for electricity, the medium voltage distribution network system has encountered problems such as insufficient reactive power, unreasonable distribution, and insufficient voltage at the end nodes of the line, which have affected the power supply quality and stability of the power system. Therefore, a multiobjective reactive power optimization planning method for medium voltage distribution networks based on an improved genetic algorithm is studied. …”
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  19. 59

    Tuning PID Controller Using Multiobjective Ant Colony Optimization by Ibtissem Chiha, Noureddine Liouane, Pierre Borne

    Published 2012-01-01
    “…The potential of using multiobjective ant algorithms is to identify the Pareto optimal solution. …”
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    Multiobjective Optimization of a Rotman Lens through the QLWS Minimization by Daniele Pinchera, Stefano Perna, Marco Donald Migliore

    Published 2017-01-01
    “…We address the multiobjective optimization of a Rotman lens by means of a recently proposed method based on the minimization of a properly defined global cost function named Quantized Lexicographic Weighted Sum (QLWS). …”
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