Results 31 to 40 of about 172,422 (234)
IEEE Access, 2017 With the advent of big data era, complex optimization problems with many objectives and large numbers of decision variables are constantly emerging. Traditional research about multi-objective particle swarm optimization (PSO) focuses on multi-objective ...
Bin Cao +6 more
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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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A chaotic-based improved many-objective Jaya algorithm for many-objective optimization problems
International Journal of Industrial Engineering Computations, 2021 The Jaya algorithm is a recently developed novel population-based algorithm. The proposed work presents the modifications in the existing many-objective Jaya (MaOJaya) algorithm by integrating the chaotic sequence to improve the performance to optimize many-objective benchmark optimization problems.
Sandeep U. Mane, M. R. Narsingrao
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Applied Sciences, 2022 Dynamic Multi-Objective Optimization Problems (DMOPs) and Many-Objective Optimization Problems (MaOPs) are two classes of the optimization field that have potential applications in engineering.
Ahlem Aboud +5 more
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Comparative evaluation of large-scale many objective algorithms on complex optimization problems [PDF]
Iranian Journal of Numerical Analysis and OptimizationIn the field of optimization, there has been an enormous surge in interest in addressing large-scale many-objective problems. Numerous academicians and practitioners have contributed to evolutionary computation by developing a variety of optimization ...
R. Chaudhary, A. Prajapati
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Corner Sort for Pareto-Based Many-Objective Optimization [PDF]
IEEE Transactions on Cybernetics, 2014 Nondominated sorting plays an important role in Pareto-based multiobjective evolutionary algorithms (MOEAs). When faced with many-objective optimization problems multiobjective optimization problems (MOPs) with more than three objectives, the number of comparisons needed in nondominated sorting becomes very large.
Wang, H, Yao, X
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A many-objective evolutionary algorithm with metric-based reference vector adjustment
Complex & Intelligent Systems, 2023 To deal with the inconsistency of the distribution of reference vectors (RVs) and the shape of Pareto front in decomposition-based multiobjective evolutionary algorithms, many literatures proposed to adjust RVs in evolutionary process.
Xujian Wang, Fenggan Zhang, Minli Yao
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Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
FEBS Letters, EarlyView.Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
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Results in EngineeringThe pursuit of convergence in multi-objective optimization usually results in population clustering that produces suboptimal outcomes for both convergence and diversity performance.
Mohammad Aljaidi +9 more
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Many-Objective Container Stowage Optimization Based on Improved NSGA-III
Journal of Marine Science and Engineering, 2022 The container ship stowage planning problem (CSPP) is a very complex and challenging issue concerning the interests of shipping companies and ports. This article has developed a many-objective CSPP solution that optimizes ship stability and reduces the ...
Yuchuang Wang +2 more
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