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Multi-search differential evolution algorithm
Applied Intelligence, 2017The differential evolution algorithm (DE) has been shown to be a very simple and effective evolutionary algorithm. Recently, DE has been successfully used for the numerical optimization. In this paper, first, based on the fitness value of each individual, the population is partitioned into three subpopulations with different size.
Xiangtao Li, Shijing Ma, Jiehua Hu
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On the rotational variance of the differential evolution algorithm
Advances in Engineering Software, 2019Abstract In this study we examine the rotational (in)variance of the differential evolution (DE) algorithm. We show that the classic DE/rand/1/bin algorithm, which uses constant mutation and standard crossover, is rotationally variant. We then study a previously proposed rotationally invariant formulation in which the crossover operation takes place ...
Marthinus N. Ras +3 more
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Chaotic Immune Differential Evolution Algorithm
2007 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2007A novel chaotic immune differential evolution algorithm (CIDE) is presented. In CIDE, weighted difference is added to the best individual. Using randomness and space ergodicity of chaotic mapping, the best individual is processed by chaotic immune clone operation; In each iteration process, the weighting factor is changed dynamically based on the ...
Zhenyu Guo, Zhifeng Bai, Binggang Cao
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Parameter Selection of Differential Evolution by another Differential Evolution Algorithm
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019The performance of differential evolution (DE) highly depends on its control parameters, especially for the first proposed simple or standard DE. Control parameters suitable for one objective function are generally not beneficial to another. To automatically find out optimal control parameter settings for different objective functions, we propose a ...
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A Discrete Differential Evolution Algorithm for Carpooling
2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), 2018Carpooling is an effective transport model that can significantly reduce transportation costs. The problem to match passengers with drivers is a difficult problem due to complex constraints to be satisfied in the solution processes. The goals of this paper are to propose a model and a solution methodology that is seamlessly integrated with existing ...
Fu-Shiung Hsieh, Fu-Min Zhan
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A Differential Evolution Algorithm for Contrast Optimization
2020Image Enhancement is one of the most important phases of the image processing system. Contrast Enhancement plays a key role in this step. Histogram Equalization (HE) is one of the main tools used to improve the contrast of an image. However, the use of HE causes an increase in the natural brightness of the image, which is not desirable in many types of
Artur Leandro da Costa Oliveira +1 more
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Opposition-Based Differential Evolution Algorithms
2006 IEEE International Conference on Evolutionary Computation, 2006Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general weakness; they are computationally expensive due to slow nature of the evolutionary process.
Shahryar Rahnamayan +2 more
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Differential Evolution Algorithms with Cellular Populations
2010Differential Evolution (DE) algorithms are efficient Evolutionary Algorithms (EAs) for the continuous optimization domain. There exist a large number of DE variants in the literature. In this paper, we analyze the effect of adding a cellular structure to the population of some of the most outstanding existing ones.
Bernabé Dorronsoro, Pascal Bouvry
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Realization of the differential evolution algorithm on FPGA
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014In this work, a hardware implementation of differential evolution algorithm (DEA) on field-programmable gate array (FPGA) is realized. The implementation of DEA on FPGA is carried out to find minimum value of an equation with two unknowns. This study is a preparatory work for the training of neural networks with DEA on FPGA which is more complicated.
Ali Riza Yilmaz +2 more
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An enhanced differential evolution optimization algorithm
2014 Fourth International Conference on Digital Information and Communication Technology and its Applications (DICTAP), 2014The Differential Evolution (DE) algorithm, introduced by Storn and Price in 1995, has become one of the most efficacious population-based optimization approaches. In this algorithm, use is made of the significant concepts of mutation, crossover, and selection.
M. Arafa, Elsayed A. Sallam, M. M. Fahmy
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