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GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
15 years 6 months ago
Unwitting distributed genetic programming via asynchronous JavaScript and XML
The success of a genetic programming system in solving a problem is often a function of the available computational resources. For many problems, the larger the population size an...
Jon Klein, Lee Spector
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
15 years 6 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
15 years 6 months ago
A parallel framework for loopy belief propagation
There are many innovative proposals introduced in the literature under the evolutionary computation field, from which estimation of distribution algorithms (EDAs) is one of them....
Alexander Mendiburu, Roberto Santana, Jose Antonio...
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
15 years 6 months ago
Evolutionary benefits of evolvable component integration
A system composed of multiple interacting components is capable of responding to contextual information and producing a higher range of non-linear responses to stimuli compared to...
David Malkin, R. Beau Lotto
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 6 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
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