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Compact Differential Evolution
IEEE Transactions on Evolutionary Computation, 2011This paper proposes the compact differential evolution (cDE) algorithm. cDE, like other compact evolutionary algorithms, does not process a population of solutions but its statistic description which evolves similarly to all the evolutionary algorithms.
Mininno E +3 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.
MILANI, Alfredo, SANTUCCI, VALENTINO
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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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A differential evolution strategy
2017 IEEE Congress on Evolutionary Computation (CEC), 2017This contribution introduces an evolutionary algorithm (EA) for continuous optimization in ℝn. The algorithm generates new individuals by the standard nonelitist truncation selection and the differential mutation to generate new individuals. The differential mutation is enriched by adding a random vector in the direction of the shift of population ...
Dariusz Jagodzinski, Jaroslaw Arabas
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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 0015 +3 more
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On the evolution of differentiation
Archiv f�r Mikrobiologie, 1967Evidence is presented that differentiating systems are closed off from their environment and self-sufficient; they must therefore operate on an endogenous metabolism. This fundamental characteristic of differentiation is exmained from the point of view of its evolution and with respect to the initiation, control and consumation of morphogenesis.
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Variable Fragments Evolution in Differential Evolution
2021The crossover operator plays an important role in Differential Evolution. However, the choice of proper crossover operator and corresponding parameters is dependent on the features of the problems. It is not easy for practitioners to choose the right crossover operator and associated parameter value.
Changshou Deng +3 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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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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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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