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Differential Evolution (DE)

Quantum Inspired Differential Evolution Algorithm

Quantum Inspired Differential Evolution Algorithm

... of differential evolution algorithm, by studying the im- plementation mechanism of differential evolution algorithm, a new idea of incorporating differen- tial strategy and rotation of qubits ...

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Differential Evolution and Genetic Algorithm Based MPPT Controller for Photovoltaic System

Differential Evolution and Genetic Algorithm Based MPPT Controller for Photovoltaic System

... The configuration of maximum power point tracking system using differential evolution algorithm is shown in Fig. 2. The error signal is generated from the difference of PV panel voltage maximum voltage and ...

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Adaptive inflationary differential evolution

Adaptive inflationary differential evolution

... of Differential Evolution (DE)[2], the authors recently proposed Inflationary Differential Evolution Algorithm (IDEA)[1], which com- bines DE with the restarting procedure of Monotonic Basin ...

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Differential evolution with an evolution path : a DEEP evolutionary algorithm

Differential evolution with an evolution path : a DEEP evolutionary algorithm

... for differential evolution (DE) ...whilst evolution strategy (ES) uses a centralized model (CM) to generate offspring, which through adaptation retains a convergence ...learned evolution path ...

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Infeasibility and structural bias in Differential Evolution

Infeasibility and structural bias in Differential Evolution

... combination of these and other features. Thus, the techniques used to address these problems are invariably drawn from the area of stochastic, approximate optimisation, which offers a very wide range of algorithms that, ...

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Differential Evolution in Wireless Communications:  A Review

Differential Evolution in Wireless Communications: A Review

... Abstract—Differential Evolution (DE) is an evolutionary computational method inspired by the biological processes of evolution and mutation. DE has been applied in numerous scientific fields. The ...

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Fast Convergent Differential Evolution Algorithm

Fast Convergent Differential Evolution Algorithm

... Differential Evolution (DE) scheme is relatively a simple, fast and population based stochastic search technique, proposed by Storn and Price [12]. DE falls under the category of Evolutionary Algorithms ...

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Determination Of Component Values For Butterworth Type Active Filter By Differential Evolution Algorithm

Determination Of Component Values For Butterworth Type Active Filter By Differential Evolution Algorithm

... are differential evolution (DE), particle swarm optimization (PSO), genetic algorithm (GA), artificial bee colony (ABC), tabu search (TS) and backtracking search algorithm ...

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Hybridized Firefly And Differential Evolution Optimization Algorithm Based Feature Selection For Disease Prediction

Hybridized Firefly And Differential Evolution Optimization Algorithm Based Feature Selection For Disease Prediction

... modified differential evolution (MDE) algorithm [3] was introduced as an optimal feature selection technique for the prediction of heart ...conventional differential evolution process and then ...

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A Differential Evolution Optimization Approach for Parameters Estimation of Truncated and Censored Failure Time Data

A Differential Evolution Optimization Approach for Parameters Estimation of Truncated and Censored Failure Time Data

... A Differential Evolution (DE) algorithm developed in MATLAB R2013a minimizes the Negative Log Likelihood (NLL) function and obtains optimum parameters for the 2 Parameters (2-P) Weibull ...

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Adaptive multi-population inflationary differential evolution

Adaptive multi-population inflationary differential evolution

... inflationary differential evolution ...ferential evolution algorithm (IDEA) combines basic differential evolution (DE) with some of the restart and local search mechanisms of Monotonic ...

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Jump Diffusion Calibration using Differential Evolution

Jump Diffusion Calibration using Differential Evolution

... Differential Evolution (DE) is a search heuristic introduced by Storn and Price (1997) and belongs to the class of evolutionary algorithms. The algorithm uses biology-inspired operations of crossover, ...

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Differential Evolution for Urban Transit Routing Problem

Differential Evolution for Urban Transit Routing Problem

... The urban transit routing problem (UTRP) involves the construction of route sets on existing road networks to cater for the transit demand efficiently. This is an NP-hard problem, where the generation of candidate route ...

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Differential evolution for neural networks learning enhancement

Differential evolution for neural networks learning enhancement

... the evolution of a population toward a solution of a certain ...problem, Differential Evolution (DE) has been used to determine optimal value for ANN parameters such as learning rate and momentum ...

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A DIFFERENTIAL EVOLUTION ALGORITHM PARALLEL IMPLEMENTATION IN A GPU

A DIFFERENTIAL EVOLUTION ALGORITHM PARALLEL IMPLEMENTATION IN A GPU

... The computational power of a Graphics Processing Unit (GPU), relative to a single CPU, presents a promising alternative to write parallel codes in an efficient and economical way. Differential Evolution ...

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Fuzzy Differential Evolution Algorithm

Fuzzy Differential Evolution Algorithm

... the Differential Evolution Optimizer ...key differential evolution features discussed in the methodology, such as fuzzy differential evolution and the ability to deal with ...

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A Novel Differential Evolution with Co-evolution Strategy

A Novel Differential Evolution with Co-evolution Strategy

... The first intelligent optimization algorithms were including evolutionary programming (EP), evolutionary strategy (ES) and genetic algorithm (GA). There are some disadvantages of the earlier algorithms, such as the ...

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Global Optimization by Differential Evolution and Particle Swarm Methods: Evaluation on Some Benchmark Functions

Global Optimization by Differential Evolution and Particle Swarm Methods: Evaluation on Some Benchmark Functions

... of Differential Evolution (DE) grew out of Kenneth Price's attempts to solve the Chebychev Polynomial fitting Problem that had been posed to him by Rainer ...

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Performance of Differential Evolution and Particle Swarm Methods on Some Relatively Harder Multi modal Benchmark Functions

Performance of Differential Evolution and Particle Swarm Methods on Some Relatively Harder Multi modal Benchmark Functions

... I. Introduction: Global optimization (GO) is concerned with finding the optimum point(s) of a non-convex (multi-modal) function in an m-dimensional space. Although some work was done in the pre-1970’s to develop ...

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Differential Evolution of Duplicated Medakafish mitf Genes

Differential Evolution of Duplicated Medakafish mitf Genes

... the evolution of WGD-derived gene duplicates. Here we report the evolution of mitf duplicate, mitf1 and mitf2, in the fish medaka (Oryzias latipes), which encode medaka co-homologs Mitf1 and Mitf2 of the ...

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