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» Parallelism and evolutionary algorithms
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EOR
2000
43views more  EOR 2000»
14 years 11 months ago
A framework for the description of evolutionary algorithms
Evolutionary algorithms (EA) are optimisation techniques inspired from natural evolution processes. They handle a population of individuals that evolve with the help of informatio...
Alain Hertz, Daniel Kobler
AE
2003
Springer
15 years 5 months ago
Modeling Selection Intensity for Linear Cellular Evolutionary Algorithms
We present quantitative models for the selection pressure on cellular evolutionary algorithms structured as a ring of cells. We obtain results for synchronous and asynchronous cell...
Mario Giacobini, Marco Tomassini, Andrea Tettamanz...
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EUROGP
2004
Springer
15 years 3 months ago
On the Evolution of Evolutionary Algorithms
In this paper we discuss the evolution of several components of a traditional Evolutionary Algorithm, such as genotype to phenotype mappings and genetic operators, presenting a for...
Jorge Tavares, Penousal Machado, Amílcar Ca...
KES
2008
Springer
14 years 11 months ago
Instruction-based development: From evolution to generic structures of digital circuits
Evolutionary techniques provide powerful tools to design novel solutions for hard problems in different areas. However, the problem of scale (i.e. how to create a large, complex s...
Michal Bidlo, Jaroslav Skarvada
IKE
2004
15 years 1 months ago
Agent-Based Optimization of Business Functions Using Coevolutionary Algorithms
This paper presents one target of the Evo-business project (2003-2005, conducted at University of Luxembourg) which aims at applying evolutionary algorithms (and more precisely lo...
Grégoire Danoy, Pascal Bouvry, Franciszek S...