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Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, 2013
Differential Evolution (DE) is one of the most powerful stochastic real-parameter optimization algorithms of current interest. DE operates through similar computational steps as employed by a standard Evolutionary Algorithm (EA). However, unlike traditional EAs, the DE-variants perturb the current-generation population members with the scaled ...
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Differential Evolution (DE) is one of the most powerful stochastic real-parameter optimization algorithms of current interest. DE operates through similar computational steps as employed by a standard Evolutionary Algorithm (EA). However, unlike traditional EAs, the DE-variants perturb the current-generation population members with the scaled ...
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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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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.
Aljoša Vodopija +2 more
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Multiobjective Differential Evolution and Differential Evolution for Irrigation Planning
World Environmental and Water Resources Congress 2009, 2009The present paper discusses the applicability of Multiobjective Differential Evolution (MODE) and single objective Differential Evolution (DE) to a case study of Mahi Bajaj Sagar Project, Rajasthan, India. Three objectives, namely, net benefits, agricultural production and labour employment are analyzed in the multiobjective framework using MODE.
Piyush Gupta +2 more
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Asynchronous Differential Evolution
IEEE Congress on Evolutionary Computation, 2010This paper introduces the Asynchronous Differential Evolution (ADE) scheme which generalizes the classical Differential Evolution (DE) approach along the dimension of Synchronization Degree (SD). SD regulates the synchrony of the evolution of the current population, i.e. how fast it is replaced by the newly generated population.
Alfredo Milani, Valentino Santucci
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Differentiable Kernel Evolution
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019This paper proposes a differentiable kernel evolution (DKE) algorithm to find a better layer-operator for the convolutional neural network. Unlike most of the other neural architecture searching (NAS) technologies, we consider the searching space in a fundamental scope: kernel space, which encodes the assembly of basic multiply-accumulate (MAC ...
Yu Liu +3 more
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Annealed Differential Evolution
2007 IEEE Congress on Evolutionary Computation, 2007Differential evolution (DE) has recently emerged as a leading methodology for global search and optimization over continuous, high-dimensional spaces. It has been successfully applied to a wide variety of nearly intractable engineering problems. However, the DE and its variants usually employ a deterministic selection mechanism that always allows the ...
Swagatam Das +2 more
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Generalized differential evolution
2017 7th International Conference on Computer and Knowledge Engineering (ICCKE), 2017Differential Evolution (DE) proved to be one of the most successful evolutionary algorithms for global optimization purposes in continuous problems. The core operator in DE is a mutation which can provide the algorithm with both exploration and exploitation. In this article, a new notation for DE is proposed which has a formula that can be utilized for
Hossein Sharifi Noghabi +2 more
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Evolution Integro-Differential Inclusions
Set-Valued and Variational AnalysisIn this paper, authors provided existence and uniqueness results of local/global solution for a new evolution inclusion governed by the subdifferential of a function \(\varphi\) perturbed both by a Carathéodory mapping and by an integral forcing term.
Abderrahim Bouach +2 more
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Phylogenetic Differential Evolution
International Journal of Natural Computing Research, 2011This paper presents a new technique for optimizing binary problems with building blocks. The authors have developed a different approach to existing Estimation of Distribution Algorithms (EDAs). Our technique, called Phylogenetic Differential Evolution (PhyDE), combines the Phylogenetic Algorithm and the Differential Evolution Algorithm.
Vinícius Veloso de Melo +2 more
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