Differential Evolution
A Novel Differential Evolution with Co-evolution Strategy
... Abstract—Differential evolution, termed DE, is a novel and rapidly developed evolution computation in recent years. There are some advantages of DE, including simple structure, easy use and rapid ...
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Jump Diffusion Calibration using Differential Evolution
... introduced Differential Evolution, a heuristic evolutionary method for global opti- mization that is effective on many problems of interest in science and ...
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Applying Differential Evolution to Aggregate Production Planning
... Abstract Differential evolution (DE) has become a popular and promising technique in the recent decade. There are many successful applications implemented DE in scientific and engineering fields. However, ...
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A novel modified differential evolution algorithm for clustering
... A new variant of differential evolution algorithm is proposed in this paper. Similar to all population-based optimization algorithms, two main steps are distinguishable for DE, namely, population ...
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Differential evolution for neural networks learning enhancement
... 6 According to lonen et al. (2003), Differential Evolution has been used for feed- forward neural network training. A new parallelization scheme for the computation of the fitness function is proposed. This ...
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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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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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Adaptive multi-population inflationary differential evolution
... The paper starts stating the problem we are trying to solve in Sect. 2 and briefly introducing the basic principles and fun- damental theoretical developments underneath inflationary differential evolution ...
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An Improved Differential Evolution and Its Industrial Application
... In this paper, we have proposed an improved Differential Evolution (DE) that incorporates double wavelet-based mutations to handle the ELD-VPL problem. In the first mutation operation, a scheme on tuning ...
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Thermal Image Segmentation Based On Differential Evolution
... in Differential Evolution ...6]. Differential Evolution is used to generate generations of threshold ...only. Differential Evolution rely on the mutation function ...also. ...
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Improved differential evolution based on mutation strategies
... Abstract. Differential Evolution (DE) has been regarded as one of the excellent optimization algorithm in the science, computing and engineering field since its introduction by Storm and Price in ...
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μJADE: adaptive differential evolution with a small population
... Abstract This paper proposes a new differential evolution (DE) algorithm for unconstrained continuous optimisation problems, termed µJADE, that uses a small or ‘micro’ (µ) population. The main contribution ...
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Composite Differential Evolution for Constrained Evolutionary Optimization
... composite differential evolution (CoDE) [20] exhibits a few strengths, including ease of implementation, powerful search ability, integrating the strengths of different trial vector generation strategies, ...
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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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Differential Evolution based Multiobjective Optimization A Review
... time. Differential Evolution(DE) is a simple, stochastic, yet powerful population based optimi- zation approach for faster ...scribes, Differential Evolution, Section 3 presents Multiobjective ...
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Multi-population adapative inflationary differential evolution
... The need to have an algorithm capable of self-adapting these two parameters has resulted in many works [1, 3, 10, 12, 14]. The next step in the development of IDEA has therefore been the adaptation of CR and F , leading ...
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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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Infeasibility and structural bias in Differential Evolution
... To shed light on these open research questions, recent studies have focused their attention on the variability of individuals inside populations, and have found structural biases in popular metaheuristics such as GA and ...
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Fast Convergent Differential Evolution Algorithm
... Abstract— Differential Evolution (DE) algorithmis a well known population based stochastic algorithm used to solve optimization problems. But, DE, like other nature inspired algorithms, sometimes stuck in ...
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Differential Evolution in Wireless Communications: A Review
... The basic procedure of Differential evolution (DE) is given. A population of can- didate solutions (called vectors) is moved around in the search space by using the mathematical formulae defined for the ...
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