Results 11 to 20 of about 1,901,574 (295)
A Multi-Objective Evolutionary Algorithm With Hierarchical Clustering-Based Selection
IEEE Access, 2023 This paper proposes an evolutionary algorithm with hierarchical clustering based selection for multi-objective optimization. In the proposed algorithm, a hierarchical clustering is employed to design the environmental and mating selections, named local ...
Shenghao Zhou +6 more
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Applied Sciences, 2022 Software maintenance is an important step in the software lifecycle. Software module clustering is a HHMO_CF_GDA optimization problem involving several targets that require minimization of module coupling and maximization of software cohesion.
Haya Alshareef, Mashael Maashi
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Four-dimensional Uncertain Multi-objective Multi-item Transportation Problem [PDF]
Operations Research and Decisions, 2022 This paper considers a four-dimensional multi-objective multi-item transportation problem (4DMOMITP), where all the parameters are regarded as uncertain variables.
Vandana Kakran, Jayesh Dhodiya
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Multi-Robot Routing Problem with Min–Max Objective
Robotics, 2021 In this paper, we study the “Multi-Robot Routing problem” with min–max objective (MRR-MM) in detail. It involves the assignment of sequentially ordered tasks to robots such that the maximum cost of the slowest robot is minimized. The problem description,
Jennifer David, Thorsteinn Rögnvaldsson
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A test problem for visual investigation of high-dimensional multi-objective search [PDF]
, 2014 An inherent problem in multiobjective optimization is that the visual observation of solution vectors with four or more objectives is infeasible, which brings major difficulties for algorithmic design, examination, and development.
Miqing Li +5 more
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Conic Duality for Multi-Objective Robust Optimization Problem
Mathematics, 2022 Duality theory is important in finding solutions to optimization problems. For example, in linear programming problems, the primal and dual problem pairs are closely related, i.e., if the optimal solution of one problem is known, then the optimal ...
Khoirunnisa Rohadatul Aisy Muslihin +2 more
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A benchmark test problem toolkit for multi-objective path optimization [PDF]
, 2019 Due to the complexity of multi-objective optimization problems (MOOPs) in general, it is crucial to test MOOP methods on some benchmark test problems.
Hu, Xiao-Bing +5 more
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Evolutionary Game Theory in Multi-Objective Optimization Problem [PDF]
International Journal of Computational Intelligence Systems, 2010 Multi-objective optimization focuses on simultaneous optimization of multiple targets. Evolutionary game theory transforms the optimization problem into game strategic problem and using adaptable dynamic game evolution process intelligently obtains the ...
Maozhu Jin, Xia Lei, Jian Du
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Vojnotehnički Glasnik, 2023 Introduction/purpose: In this paper, a new solution for solving a multiobjective integer programming problem with probabilistic multi – objective optimization is formulated.
Maosheng Zheng, Jie Yu
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Scalarizing cost-effective multiobjective optimization algorithms made possible with kriging [PDF]
, 2007 The use of kriging in cost-effective single-objective optimization is well established, and a wide variety of different criteria now exist for selecting design vectors to evaluate in the search for the global minimum.
Hawe, G.I., Sykulski, J.K.
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