Communications of the ACM - Special issue on parallelism
Similarity and analogical reasoning
Similarity and analogical reasoning
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic Algorithms and Robotics
Genetic Algorithms and Robotics
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms and Simulated Annealing
Genetic Algorithms and Simulated Annealing
Adapting Operator Probabilities in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Uniform Crossover in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Cluster Analysis
Genetic Algorithms to Optimise CBR Retrieval
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Case Library Reduction Applied to Pile Foundations
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Using genetic algorithms to discover selection criteria for contradictory solutions retrieved by CBR
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
A rule-based method for customer churn prediction in telecommunication services
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
CBR for state value function approximation in reinforcement learning
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Analysis of feature weighting methods based on feature ranking methods for classification
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
The development of intuitive knowledge classifier and the modeling of domain dependent data
Knowledge-Based Systems
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In this paper we describe a method for hybridizing a genetic algorithm and a k nearest neighbors classification algorithm. We use the genetic algorithm and a training data set to learn real-valued weights associated with individual attributes in the data set. We use the k nearest neighbors algorithm to classify new data records based on their weighted distance from the members of the training set. We applied our hybrid algorithm to three test cases. Classification results obtained with the hybrid algorithm exceed the performance of the k nearest neighbors algorithm in all three cases.