Evolutionary Computation
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Evolutionary Computation
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Material complementarioEvolutionary Computation
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Material complementarioEvolutionary computation with simulated annealing: conditions for optimal equilibrium distribution
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Article
In this paper a thermodynamic approach is presented to the problem of convergence of evolutionary algorithms. The case of the Simulated Annealing algorithm for optimisation is considered as a simple evolution strategy wi...
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Open AccessEvolutionary Computation & Swarm Intelligence
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Material complementarioEvolutionary Computation 2020
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Material complementarioEvolutionary computation in stochastic environments
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Material complementarioWavelength assignment using a hybrid evolutionary computation to reduce cross-phase modulation
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Article
In this paper, we propose a hybrid methodology based on Graph-Coloring and Genetic Algorithm (GA) to solve the Wavelength Assignment (WA) problem in optical networks, impaired by physical layer effects. Our proposal was ...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma English
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Material complementarioWavelength assignment using a hybrid evolutionary computation to reduce cross-phase modulation
Article
Article
In this paper, we propose a hybrid methodology based on Graph-Coloring and Genetic Algorithm (GA) to solve the Wavelength Assignment (WA) problem in optical networks, impaired by physical layer effects. Our proposal was ...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma English
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Material complementarioMultiple parents, multiple crossovers and incest prevention in evolutionary computation
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Multimodal optimization is an always present topic in Computer Systems and Networks design and implementation. - Evolutionary Computation is an emergent field which provides new heuristics to function optimization where ...
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Material complementarioThe MCPC evolution in evolutionary computation
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The aItemative proposed and known as MCPC [6] has improved the perfonnance of the original Holland's Genetic Algorithms in order to obtain good quality solutions in less execution time. But, it's brought out an important...
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Open AccessArtificial Neural Networks and Evolutionary Computation in Remote Sensing
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Material complementarioHybrid Advanced Optimization Methods with Evolutionary Computation Techniques in Energy Forecasting
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Material complementarioNew Achievements in Evolutionary Computation
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Material complementarioEvolutionary Genomics : Statistical and Computational Methods
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Material complementarioConstraint-Handling in Evolutionary Optimization; Efrén Mezura-Montes (Editor) : Springer, Studies in Computational Intelligence Series Vol. 198, 1st Edition, 2009.
ISBN: 978-3-642-00618-0
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Article
The use of evolutionary and swarm intelligence algorithms, has become a very popular option to solve complex real-world optimization problems. However, in their original versions, these algorithms lack a mechanism to han...
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Open AccessEvolutionary algorithms to solve the school timetabling problem
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Evolutionary Computation (EC) have been applied to a great number of optimisation problems with some success, specially in fields such as production operations in manufacturing industry, parallel and distributed systems,...
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Material complementarioEnhancing evolutionary algorithms through recombination and parallelism
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Evolutionary computation (EC) has been recently recognized as a research field, which studies a new type of algorithms: Evolutionary Algorithms (EAs). These algorithms process populations of solutions as opposed to most ...
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Open AccessEnhancing evolutionary algorithms through recombination and parallelism
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Evolutionary computation (EC) has been recently recognized as a research field, which studies a new type of algorithms: Evolutionary Algorithms (EAs). These algorithms process populations of solutions as opposed to most ...
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Open AccessCombining incest prevention and multiplicity in evolutionary algorithms
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Evolutionary Computation is an emergent field, which provides new heuristics to function optimization where traditional approaches make the problem computationally intractable.
Exploration and exploitation of solution i...
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Material complementarioA modified particle swarm optimizer
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Article
Evolutionary computation techniques, genetic algorithms, evolutionary strategies and genetic programming are motivated by the evolution of nature. A population of individuals, which encode the problem solutions are manip...
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Página del recursoA genetic approach using direct representation of solution for parallel task scheduling problem
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Article
Evolutionary computation (EC) has been recently recognized as a research field, which studies a new type of algorithms: Evolutionary Algorithms (EAs). These algorithms process populations of solutions as opposed to most ...
Idioma English
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open AccessAn evolutionary approach to translating operational specifications into declarative specifications
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"Various tools for program analysis, including run-time assertion checkers and static analyzers such as verification and test generation tools, require formal specifications of the programs being analyzed. Moreover, many...
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Material complementarioMulti-criteria evaluation with gradual-weighting and aggregation of normalised distance matrices: a case study in renewable energy grid selection
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Moving towards a sustainable future, optimising energy systems and resources involves increasingly sophisticated decision-making processes that require balancing technical efficiency with societal, economic and environme...
LCC LCC:Electronic computers. Computer scienceIdioma English
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