alphaDEMO: A faster algorithm based on Differential Evolution for Many-Objective Optimization
Differential Evolution based Multiobjective Optimization A Review
... Multiobjective optimization (Vector optimization) algorithms have great impact in solving many real world problems espe- cially from the field of ...one objective functions to be optimized at ...
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Optimization of Wireless Sensor Networks Based on Differential Evolution Algorithm
... the algorithm, Figure 6 gives the evolution process of three algorithms in problem 2, in which the abscissa represents the evolutionary algebra (FES), the ordinate represents the ratio of the theoretical ...
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Optimum Pareto design of vehicle vibration model excited by non-stationary random road using multi-objective differential evolution algorithm with dynamically adaptable mutation factor
... approach based on the combination of differential evolution using fuzzified mutation with non-dominated sorting algorithm and crowding distance criterion was used to optimally design the ...
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Optimization of Antenna Configuration with a Fitness-Adaptive Differential Evolution Algorithm
... Adaptive Differential Evolution (FiADE) of another vastly used EA called Differential ...The Differential Evolution (DE) [8–11] algorithm emerged as a very competitive form of ...
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Grammatical Differential Evolution Adaptable Particle Swarm Optimization Algorithm
... Swarm Optimization (PSO) algorithm is population based global optimization algorithm having stochastic ...has faster convergence but it often gets stuck in local optima due to ...
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Hybridized Firefly And Differential Evolution Optimization Algorithm Based Feature Selection For Disease Prediction
... modified differential evolution (MDE) [3] was introduced for optimal feature ...provides faster convergence speed but this faster convergence yields premature ...Firefly Optimization ...
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A Robust Archived Differential Evolution Algorithm for Global Optimization Problems
... balance objective and penalty functions stochastically, and reported that the stochastic ranking approach is capable of improving the search performance ...criteria based on feasibility to deal with the ...
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NARMAX Model Identification Using Multi-Objective Optimization Differential Evolution
... multi-objective optimization problems ...conventional optimization methods (Hu, Yang, Sun, Wei, & Zhao, ...evolutionary algorithm (EA) has been ...in optimization technique (Eiben ...
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Minimization of Real Power loss using Evolutionary Algorithm
... the Differential Evolution (DE) algorithm in 1995 and since then the DE algorithm has been used in many practical ...population based optimization technique. This ...
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Reactive Power Optimization Using Differential Evolution Algorithm
... power optimization (RPO) for voltage control and for reducing power losses has received much attention ...main objective of RPO is to improve the voltage profile and minimize real power losses through ...
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Tuning of PID Controllers Using Hybrid Differential Evolution
... free optimization and search methods. Evolutionary algorithm is an umbrella term used to describe computer based problem solving systems which use computational models of evolutionary processes as ...
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A Image Segmentation Algorithm Based on Differential Evolution Particle Swarm Optimization Fuzzy C-Means Clustering
... The characteristics of the PSO are the ability of local search, fast convergence, but premature, the DE is characterized by global search ability, but poor convergence and the lack of local search ability. In order to ...
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Differential Evolution with Enhanced Abilities for Adaptation Applied to Heterogeneous Numerical Optimization
... Differential Evolution Algorithm is proposed by Kenneth Price and Rainer Storn in 1995 ...This algorithm is a very simple population–based search method and very powerful at the same ...
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Social media and efficient computer infrastructure in smart city
... ABC algorithm was introduced in ...ABC algorithm: employed bees, onlookers bees and artificial food sources (solutions found for a particular optimization ...ABC algorithm proved to be a good ...
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TEXTURE PATTERN IN ABNORMAL MAMMOGRAMS CLASSIFICATION USING SUPERVISED MACHINE LEARNING TECHNIQUES
... In this paper, GA is presented for optimizing the use of PSS and CES in a single-machine infinite bus (SMIB) synchronous generator. The PSS and CES parameters are effectively tuned with GA to obtain sufficient damping ...
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1. Implementation of particle swarm optimization and differential evolution application to large-scale unit commitment problem
... The test system containing ten power generating units and a time horizon of 24hours is taken from [9]. In PSO the population consists of 100 individuals where as in DE also the population is of 100 individuals. In lambda ...
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A new ensemble algorithm of differential evolution and backtracking search optimization algorithm with adaptive control parameter for function optimization Pages 323-338 Download PDF
... Scaling factor, F that is used to generate new trial solutions and is usually chosen between 0.5 and 1 (Storn 1996). Storn and Price (1997) found that values of Scaling factor (F) smaller than 0.4 and greater than 1.0 ...
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Probit Based Grey Wolf Optimal Route Path Discovery In Internet Of Vehicles
... Wolf Optimization (PRCBGWO) technique is introduced to improve the reliable data transmission and minimize the end to end delay in ...Wolf Optimization technique is applied to discover the optimal route ...
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Multi-objective optimization using differential evolution for dynamic model structure selection
... Although many researches resolve this problem using trial and error, but abundance of possible combination of parameters, make it impractical in many ...
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Quantum Inspired Differential Evolution Algorithm
... the optimization performance of differential evolution algorithm, by studying the im- plementation mechanism of differential evolution algorithm, a new idea of ...
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