Results 271 to 280 of about 2,735,316 (329)

Index- and Pareto-based multi-trait selection identifies dual-purpose sorghum and pearl millet cultivars for arid agro-ecosystems of Saudi Arabia. [PDF]

open access: yesFront Plant Sci
Habyarimana E   +13 more
europepmc   +1 more source

Regular Pareto Front Shape Is Not Realistic

2019 IEEE Congress on Evolutionary Computation (CEC), 2019
Performance of evolutionary multi-objective and many-objective optimization algorithms is usually evaluated by computational experiments on a number of test problems. Thus, performance comparison results depend on the choice of test problems.
Hisao Ishibuchi, Linjun He, Ke Shang
exaly   +3 more sources

On the Estimation of Pareto Front and Dimensional Similarity in Many-Objective Evolutionary Algorithm

Information Sciences, 2021
Evolutionary algorithms have been proven to be effective in solving multi-objective optimization problems. However, their performance deteriorates progressively in handling many-objective optimization problems due to the sensitivity upon the curvature of
Gary G Yen, Li Li, Liang Chang
exaly   +2 more sources

A taxonomy of methods for visualizing pareto front approximations

Proceedings of the Genetic and Evolutionary Computation Conference, 2018
In multiobjective optimization, many techniques are used to visualize the results, ranging from traditional general-purpose data visualization techniques to approaches tailored to the specificities of multiobjective optimization.
B. Filipič, T. Tušar
semanticscholar   +2 more sources

Local Model-Based Pareto Front Estimation for Multiobjective Optimization

IEEE Transactions on Systems, Man & Cybernetics. Systems, 2023
The Pareto front (PF) estimation has become an emerging strategy for solving multiobjective optimization problems in recent studies. By approximating the geometrical structure of the PF during the evolutionary procedure, some PF estimation approaches ...
Ye Tian   +4 more
semanticscholar   +1 more source

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