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2006 IEEE International Conference on Evolutionary Computation, 2006
The ability of differential evolution (DE) to perform well in continuous-valued search spaces is well documented. The arithmetic reproduction operator used by differential evolution is simple, however, the manner in which the operator is defined, makes it practically impossible to effectively apply the standard DE to other problem spaces.
Gary Pampara +2 more
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The ability of differential evolution (DE) to perform well in continuous-valued search spaces is well documented. The arithmetic reproduction operator used by differential evolution is simple, however, the manner in which the operator is defined, makes it practically impossible to effectively apply the standard DE to other problem spaces.
Gary Pampara +2 more
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Improved Multi-operator Differential Evolution Algorithm for Solving Unconstrained Problems
IEEE Congress on Evolutionary Computation, 2020In recent years, several multi-method and multi-operator-based algorithms have been proposed for solving optimization problems. Generally, their performance is better than other algorithms that based on a single operator and/or algorithm.
Karam M. Sallam +3 more
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Asynchronous Differential Evolution
2012Differential Evolution (DE) is an algorithm to solve possibly nonlinear and non-differentiable global optimization problems. Classical Differential Evolution (CDE) employs a synchronous generation-based evolution strategy. We propose a modification of the CDE algorithm by incorporating mutation, crossover and selection operations into an asynchronous ...
Evgeniya Zhabitskaya, Mikhail Zhabitsky
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A Parallel Differential Evolution Algorithm A Parallel Differential Evolution Algorithm
International Symposium on Parallel Computing in Electrical Engineering (PARELEC'06), 2006In the paper the problem of using a differential evolution algorithm for feed-forward neural network training is considered. A new parallelization scheme for the computation of the fitness function is proposed. This scheme is based on data decomposition.
Wojciech Kwedlo, Krzysztof Bandurski
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Comparing black-box differential evolution and classic differential evolution
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018Recently, black-box differential evolution (BBDE) has been proposed to overcome the search biases and sensitivity to rotation of the classic differential evolution (DE). To date, BBDE has been studied only for the 'rand' strategy and even for this strategy, no systematic experimental study has been published yet.
Aljosa Vodopija +2 more
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Polyploidy in differentiation and evolution
The International Journal of Cell Cloning, 1990Somatic and generative (germ-line) polyploidy are more widely spread phenomena among living organisms than generally thought. The occurrence of polyploidization and related events in normal and pathological differentiation, their recognized main functions, as well as the structural specificities of polyploid nuclei are reviewed, and the relationship ...
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Future generations computer systems, 2020
The first powerful variant of the Harris hawks optimization (HHO) is proposed in this work. HHO is a recently developed swarm-based stochastic algorithm that has previously shown excellent performance.
Hao Chen +5 more
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The first powerful variant of the Harris hawks optimization (HHO) is proposed in this work. HHO is a recently developed swarm-based stochastic algorithm that has previously shown excellent performance.
Hao Chen +5 more
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Energy Conversion and Management, 2020
Parameter extraction of photovoltaic models based on measured current-voltage data plays an important role in the simulation, control, and optimization of photovoltaic systems.
Shuijia Li, Qiong Gu, W. Gong, Bin Ning
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Parameter extraction of photovoltaic models based on measured current-voltage data plays an important role in the simulation, control, and optimization of photovoltaic systems.
Shuijia Li, Qiong Gu, W. Gong, Bin Ning
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Differential Evolution and Chaotic Series
2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP), 2018This research deals with the modern and popular hybridization of chaotic dynamics and evolutionary computation. It is aimed at the influence of chaotic sequences on the performance of four selected Differential Evolution (DE) variants. The variants of interest were: original DE/Rand/1/ and DE/Best/1/ mutation schemes, simple parameter adaptive jDE, and
Roman Senkerik +4 more
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Is Algebraic Differential Evolution Really a Differential Evolution Scheme?
2021 IEEE Congress on Evolutionary Computation (CEC), 2021The Algebraic Differential Evolution (ADE) is a recently proposed combinatorial evolutionary scheme which mimics the behaviour of the classical Differential Evolution (DE) in discrete search spaces which can be represented as finitely generated groups. ADE has been successfully applied to both permutation and binary optimization problems.
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