Data mining of Bayesian networks using cooperative coevolution
Decision Support Systems
Application of genetic algorithm to optimize burnable poison placement in pressurized water reactors
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
A new generation alternation model for differential evolution
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Developing a custom cluster workflow for shape optimization with finite element analysis
SMO'09 Proceedings of the 9th WSEAS international conference on Simulation, modelling and optimization
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Simultaneous estimation of thin film thickness and optical properties using two-stage optimization
Journal of Global Optimization
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From the Publisher:Evolutionary Computation 1, Basic Algorithms and Operators covers all the paradigms of evolutionary computation in detail, giving an overview of the rationale evolutionary computation and of its biological background. This volume also offers an in-depth presentation of basic elements of evolutionary computation models according to the types of representations used for typical problem classes (for example, binary, real-valued, permutations, finite-state-machines, parse trees). Choosing this classification based on representation, the search operators mutation and recombination (and others) are straightforwardly grouped according to the semantics of the data they manipulate.