Improved SparseEA for sparse large-scale multi-objective optimization problems [PDF]
Complex & Intelligent Systems, 2021 Sparse large-scale multi-objective optimization problems (LSMOPs) widely exist in real-world applications, which have the properties of involving a large number of decision variables and sparse Pareto optimal solutions, i.e., most decision variables of ...
Yajie Zhang, Ye Tian, Xingyi Zhang
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A multi-population multi-stage adaptive weighted large-scale multi-objective optimization algorithm framework [PDF]
Scientific ReportsWeighted optimization framework (WOF) achieves variable dimensionality reduction by grouping variables and optimizing weights, playing an important role in large-scale multi-objective optimization problems.
Lixue Xiong +4 more
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Is NSGA-II Ready for Large-Scale Multi-Objective Optimization?
Mathematical and Computational Applications, 2022 NSGA-II is, by far, the most popular metaheuristic that has been adopted for solving multi-objective optimization problems. However, its most common usage, particularly when dealing with continuous problems, is circumscribed to a standard algorithmic ...
Antonio J. Nebro +3 more
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Towards multi-objective optimization of large-scale fluvial landscaping measures [PDF]
Natural Hazards and Earth System Sciences, 2019 Adapting densely populated deltas to the combined impacts of climate change and socioeconomic developments presents a major challenge for their sustainable development in the 21st century.
M. W. Straatsma +4 more
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CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies
Frontiers in Computer ScienceIn the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of decision variables.
Peng Wang +7 more
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Large-Scale Evolutionary Multi-Objective Optimization Based on Direction Vector Sampling
IEEE Access, 2023 The large-scale multi-objective optimization problem is characterized by a large decision space. How to design an efficient optimization algorithm that can search a large decision space and find the global optimum in the objective space is a very ...
Yingjian Xiong, Xuhua Shi
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A corrective direction particle swarm optimization for large-scale multi-objective optimization
Complex & Intelligent SystemsIn multi-objective optimization, Large-Scale Multi-Objective Optimization Problems (LSMOPs) involve a large number of decision variables and present significant challenges in finding satisfactory results with a limited number of function evaluations.
Weichao Chen, Ziyang Li, Xue Li
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A Two-Stage Multi-Objective Optimization Algorithm for Solving Large-Scale Optimization Problems
AlgorithmsFor large-scale multi-objective optimization, it is particularly challenging for evolutionary algorithms to converge to the Pareto Front. Most existing multi-objective evolutionary algorithms (MOEAs) handle convergence and diversity in a mutually ...
Jiaqi Liu, Tianyu Liu
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A Decomposition-based Large-scale Multi-modal Multi-objective optimization Algorithm [PDF]
2020 IEEE Congress on Evolutionary Computation (CEC), 2020 8 pages, 8 figures, 3 tables. Accepted by the 2020 IEEE Congress on Evolutionary Computation (IEEE CEC)
Peng, Yiming, Ishibuchi, Hisao
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Adaptive Pitch Controller of a Large-Scale Wind Turbine Using Multi-Objective Optimization
Applied Sciences, 2021 This paper deals with the control problems of a wind turbine working in its nominal zone. In this region, the wind turbine speed is controlled by means of the pitch angle, which keeps the nominal power constant against wind fluctuations.
Manuel Lara +3 more
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