Results 21 to 30 of about 75,350 (240)
Pareto Explorer for Finding the Knee for Many Objective Optimization Problems
Mathematics, 2020 Optimization problems where several objectives have to be considered concurrently arise in many applications. Since decision-making processes are getting more and more complex, there is a recent trend to consider more and more objectives in such problems,
Oliver Cuate, Oliver Schütze
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Complex System Modeling and Simulation, 2023 Evolutionary algorithm is an effective strategy for solving many-objective optimization problems. At present, most evolutionary many-objective algorithms are designed for solving many-objective optimization problems where the objectives conflict with ...
Fangqing Gu, Haosen Liu, Hailin Liu
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MaOMFO: Many-objective moth flame optimizer using reference-point based non-dominated sorting mechanism for global optimization problems [PDF]
Decision Science Letters, 2023 Many-objective optimization (MaO) deals with a large number of conflicting objectives in optimization problems to acquire a reliable set of appropriate non-dominated solutions near the true Pareto front, and for the same, a unique mechanism is ...
M. Premkumar +3 more
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A Dimension Convergence-Based Evolutionary Algorithm for Many-Objective Optimization Problems
IEEE Access, 2020 Recently, multi-objective evolutionary algorithms have become the most popular and efficient approach for multi-objective optimization problems involving two and three objectives.
Peng Wang, Xiangrong Tong
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Mathematics, 2022 Adaptive weight-vector adjustment has been explored to compensate for the weakness of the evolutionary many-objective algorithms based on decomposition in solving problems with irregular Pareto-optimal fronts. One essential issue is that the distribution
Lining Xing +3 more
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Using Objective Clustering for Solving Many-Objective Optimization Problems
Mathematical Problems in Engineering, 2013 Many-objective optimization problems involving a large number (more than four) of objectives have attracted considerable attention from the evolutionary multiobjective optimization field recently. With the increasing number of objectives, many-objective optimization problems may lead to stagnation in search process, high computational cost, increased ...
Guo, Xiaofang +2 more
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A Many-Objective Marine Predators Algorithm for Solving Many-Objective Optimal Power Flow Problem
Applied Sciences, 2022 Since the increases in electricity demand, environmental awareness, and power reliability requirements, solutions of single-objective optimal power flow (OPF) and multi-objective OPF (MOOPF) (two or three objectives) problems are inadequate for modern power system management and operation. Solutions to the many-objective OPF (more than three objectives)
Sirote Khunkitti +2 more
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A Two-Archive Harris Hawk Optimization for Solving Many-Objective Optimal Power Flow Problems
IEEE Access, 2023 To improve power system operation and management and accomplish modern power system requirements, a new algorithm named two-archive harris hawk optimization (TwoArchHHO) is proposed to solve many-objective optimal power flow (MaOOPF) problems in this ...
Sirote Khunkitti +2 more
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IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems [PDF]
IEEE Transactions on Evolutionary Computation, 2019 Inverted Generational Distance (IGD) has been widely considered as a reliable performance indicator to concurrently quantify the convergence and diversity of multi- and many-objective evolutionary algorithms. In this paper, an IGD indicator-based evolutionary algorithm for solving many-objective optimization problems (MaOPs) has been proposed ...
Yanan Sun, Gary G. Yen, Zhang Yi
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IEEE Access, 2019 Real-world optimization tasks often have more than three objectives, hence are Many-objective Optimization Problems (MaOPs). MaOPs are challenging because of the difficulties in obtaining the true Pareto front of high dimensionality.
Minghan Li +3 more
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