Data mining of Bayesian networks using cooperative coevolution
Decision Support Systems
Terrain generation using genetic algorithms
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
Voice quality conversion using interactive evolution of prosodic control
Applied Soft Computing
A novel probabilistic encoding for EAs applied to biclustering of microarray data
Proceedings of the 13th annual conference on Genetic and evolutionary computation
TINE: a metric to assess MT adequacy
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
JSSPP'05 Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing
Optimization of a pumping ship trajectory to clean oil contamination in the open sea
Mathematical and Computer Modelling: An International Journal
Two-cornered learning classifier systems for pattern generation and classification
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Cooperative games in marketing: a differential game approach
Neural, Parallel & Scientific Computations
UOW: semantically informed text similarity
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
An internet-scale idea generation system
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special section on internet-scale human problem solving and regular papers
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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.