Differential evolution
Controller optimization for a solar tracking system using differential evolution
... of differential evolution (de) was originally proposed by storm and price [14] ...the differential operator, this algorithm requires each individual to have a codification associated with real values ...
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Implemtentation of Differential Evolution Algorithm to the Wavelength Converters Placement Problem in a Multichannel Optical Network Edición Única
... The placement of wavelength converters in an arbitrary mesh network is known to belong to the class of NP-complete problems. So far, this problem has been solved by heuristic strategies or by the application of ...
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TítuloA cloud based enhanced differential evolution algorithm for parameter estimation problems in computational systems biology
... Many key problems in computational systems biology can be formulated and solved using global optimization techniques. The development of dynamic (kinetic) mod- els is one of the current key issues in the field. Dynam- ...
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Parameters calibration for parallel differential evolution based on islands
... The Differential Evolution (DE) algorithm is a population based metaheuris- tic, capable of working reliably in nonlinear and multimodal environments ...
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Memetic differential evolution for constrained numerical optimization problems
... Differential Evolution (DE), introduced by Storn and Price in [6], is one of the most popular and efficient evolutionary algorithms (EAs). DE has been applied to solve different optimization problems in ...
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TítuloEvaluation of Parallel Differential Evolution Implementations on MapReduce and Spark
... Abstract. Global optimization problems arise in many areas of science and engineering, computational and systems biology and bioinformatics among them. Many research efforts have focused on developing parallel ...
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A hybrid metaheuristic based on differential evolution and local search with quadratic interpolation
... Metaheuristics family is divided into two categories formed according to the number of solutions used: single solution based metaheuristics (also known as trajectory metaheuristics) and population based metaheuristics. ...
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TítuloImplementing Parallel Differential Evolution on Spark
... Abstract. Metaheuristics are gaining increased attention as an efficient way of solving hard global optimization problems. Differential Evolution (DE) is one of the most popular algorithms in that class. ...
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Implemtentation of Differential Evolution Algorithm to the Wavelength Converters Placement Problem in a Multichannel Optical Network-Edición Única
... The placement of wavelength converters in an arbitrary mesh network is known to belong to the class of NP-complete problems. So far, this problem has been solved by heuristic strategies or by the application of ...
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DE-SVMRank: a differential evolution algorithm with a rank-based feature selection process for microarray data classification
... The wrapper methods search for the optimal feature subset on the space of all pos- sible feature subsets. This is an optimization problem that is known to be NP-hard [13] and the bio-inspired algorithms can be used to ...
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Contributions to the development of the CRO SL algorithm: Engineering applications problems
... In the last years, engineers and scientist around the world have dedicated their efforts to tackle optimization problems through meta-heuristic algorithms. This is due to the good quality of the solutions these ...
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Global numerical optimization with a bi-population particle swarm optimizer
... We have introduced a bi-population PSO algorithm, which is proposed to solve unconstrained numeri- cal optimization. The results reached by Bi-PSO are good and competitive with respect to Differential ...
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Individual differential privacy: A utility preserving formulation of differential privacy guarantees
... which differential privacy [3] has substantially ...of differential privacy is the strong privacy guarantee it provides: while it does not prevent disclosure, it guarantees that a disclosure is equally ...
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Evolution algebras
... Before introducing evolution algebras we establish in a precise way what we mean by an algebra. An algebra is a vector space A over a field K , provided with a bilinear map A × A → A given by (a, b) 7→ ab, called ...
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Gevrey multiscale expansions of singular solutions of PDEs with cubic nonlinearity
... Here, is considered as a small complex perturbation parameter. The study of singularly perturbed ordinary and partial differential equations has been recently developed by several authors. We can cite [3, 7, 10] ...
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Schizosaccharomyces selective differential media
... This study applies the principles outlined above to optimise a selective medium which would facilitate the isolation of Schizosaccharomyces yeasts compared to existing, traditional media, thus counterbalancing the ...
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Differential Equation schaum's.pdf
... linear differential equations; that is, sets of two or more differential equations with an equal number of unknown ...each differential equation in the system; the transforms of the unknown functions ...
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A Differential Fluctuation Theorem †
... The differential fluctuation theorem allows us to use only the nonequilibrium work values that accompany transitions between subsets of the complete equi- librium ensemble to recover the relative partition ...
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Model evolution and system evolution
... each evolution action is a term of sort ...of evolution action in a hierarchical way, for example: The statement ModelEvolution ≤ Action implies that if ∀α :ActionP( α ) then ∀α : ModelEvolution P( α ...
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Differential Plasma-cell evolution is linked with Dermatophagoides pteronyssinus immunotherapy response.
... the evolution of the percentage of IgG4 secreting cells by ELISpot assay at different time points during ...the evolution of different B cell subpopulations during ...
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