LEARNABLE EVOLUTION MODEL: Evolutionary Processes Guided by Machine Learning
Machine Learning - Special issue on multistrategy learning
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Simultaneously Applying Multiple Mutation Operators in Genetic Algorithms
Journal of Heuristics
A Taxonomy of Hybrid Metaheuristics
Journal of Heuristics
Case-Based Initialization of Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
Controlling Crossover through Inductive Learning
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
From Recombination of Genes to the Estimation of Distributions I. Binary Parameters
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Speeding Up Evolution through Learning: LEM
Proceedings of the IIS'2000 Symposium on Intelligent Information Systems
Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning
A comprehensive survey of fitness approximation in evolutionary computation
Soft Computing - A Fusion of Foundations, Methodologies and Applications
HIS '04 Proceedings of the Fourth International Conference on Hybrid Intelligent Systems
A new representation and operators for genetic algorithms applied to grouping problems
Evolutionary Computation
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
A hybrid GRASP with data mining for the maximum diversity problem
HM'05 Proceedings of the Second international conference on Hybrid Metaheuristics
Clustering with a genetically optimized approach
IEEE Transactions on Evolutionary Computation
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
Evolutionary multi objective optimization for rule mining: a review
Artificial Intelligence Review
Information Sciences: an International Journal
Data-Mining-Driven Neighborhood Search
INFORMS Journal on Computing
Evolutionary approach for automated component-based decision tree algorithm design
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
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Hybridizing metaheuristic approaches becomes a common way to improve the efficiency of optimization methods. Many hybridizations deal with the combination of several optimization methods. In this paper we are interested in another type of hybridization, where datamining approaches are combined within an optimization process. Hence, we propose to study the interest of combining metaheuristics and datamining through a short survey that enumerates the different opportunities of such combinations based on literature examples.