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Toplam kayıt 5, listelenen: 1-5
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 ...
Time Scale In Least Square Method
(Hindawi Publishing Corporation, 2014)
Study of dynamic equations in time scale is a new area in mathematics. Time scale tries to build a bridge between real numbers and integers. Two derivatives in time scale have been introduced and called as delta and nabla ...
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 ...
Solving Large Scale Systems Of Linear Equations With A Stabilized Lanczos-Type Algorithms Running On A Cloud Computing Platform
(Hacettepe Univ, Fac Sci, 2018)
The Lanczos-type algorithms for Systems of Linear Equations (SLEs) are efficient but fragile. A number of ways to resolve this issue have been suggested. But, the problem is still not fully sorted, in our view. Here, we ...