Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning (1994)

by Shumeet Baluja
Citations:297 - 11 self

Active Bibliography

30 Population Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitve Learning – Shumeet Baluja - 1994
88 Adaptive Global Optimization with Local Search – William Eugene Hart - 1994
48 Memetic Algorithms for Combinatorial Optimization Problems: Fitness Landscapes and Effective Search Strategies – Peter Merz - 2001
191 Niching Methods for Genetic Algorithms – Samir W. Mahfoud - 1995
11 A Prescriptive Formalism for Constructing Domain-specific Evolutionary Algorithms – Patrick David Surry - 1998
NUMERICAL OPTIMISATION USING GENETIC ALGORITHMS – Jonathan Vincent - 2003
90 Design and Analysis of a Computational Model of Cooperative Coevolution – Mitchell A. Potter - 1997
7 Empirical Modeling of Genetic Algorithms – Richard Myers, Edwin R. Hancock - 2001
4 Parallel Metaheuristics – Teodor Gabriel Crainic, Michel Toulouse - 1997
10 Evolutionary Computation – Marc Schoenauer, Zbigniew Michalewicz - 1997
Optimizing Hydrocarbon Field Development Using a Genetic Algorithm Based Approach – Antonio Carlos Bittencourt De Andrade Filho - 1997
2 SEARCH, Computational Processes in Evolution, and Preliminary Development of the Gene Expression Messy Genetic Algorithm – Hillol Kargupta - 1997
4 Classifier Systems: A useful approach to machine learning? – Bart de Boer - 1994
169 Metaheuristics in combinatorial optimization: Overview and conceptual comparison – Christian Blum, Andrea Roli - 2003
50 An Empirical Comparison of Seven Iterative and Evolutionary Function Optimization Heuristics – Shumeet Baluja - 1995
Generational Parallel Varying Mutation GAs and their Applications – Hernán Eduardo Aguirre Durán - 2003
33 Hierarchical Learning with Procedural Abstraction Mechanisms – Justinian Rosca - 1997
153 Multi-Objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems – Kalyanmoy Deb - 1999
44 Gradual distributed real-coded genetic algorithms – Francisco Herrera, Manuel Lozano - 1999