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Toplam kayıt 3, listelenen: 1-3
Hybrid Constrained Evolutionary Algorithm For Numerical Optimization Problems
(2019)
Constrained optimization are naturally arises in many real-life applications, and is therefore gaining a constantly growing attention of the researchers. Evolutionary algorithms are not directly applied on constrained ...
Hybrid Non-Dominated Sorting Genetic Algorithm With Adaptive Operators Selection
(Elsevier Science Bv, 2017)
Multiobjective optimization entails minimizing or maximizing multiple objective functions subject to a set of constraints. Many real world applications can be formulated as multi-objective optimization problems (MOPs), ...
Hybrid Adaptive Evolutionary Algorithm Based On Decomposition
(Elsevier Science Bv, 2017)
The performance of search operators varies across the different stages of the search/optimization process of evolutionary algorithms (EAs). In general, a single search operator may not do well in all these stages when ...