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» Evolutionary Algorithms for the Satisfiability Problem
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KBS
2006
87views more  KBS 2006»
15 years 3 months ago
Predictive and comprehensible rule discovery using a multi-objective genetic algorithm
We present a multi-objective genetic algorithm for mining highly predictive and comprehensible classification rules from large databases. We emphasize predictive accuracy and comp...
Satchidananda Dehuri, Rajib Mall
ECCC
2006
97views more  ECCC 2006»
15 years 3 months ago
Runtime Analysis of a Simple Ant Colony Optimization Algorithm
Ant Colony Optimization (ACO) has become quite popular in recent years. In contrast to many successful applications, the theoretical foundation of this randomized search heuristic...
Frank Neumann, Carsten Witt
AAAI
2008
15 years 5 months ago
Studies in Solution Sampling
We introduce novel algorithms for generating random solutions from a uniform distribution over the solutions of a boolean satisfiability problem. Our algorithms operate in two pha...
Vibhav Gogate, Rina Dechter
CEC
2005
IEEE
15 years 8 months ago
A hybrid approach to parameter tuning in genetic algorithms
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolutionary Algorithms (EAs). As one of the earliest parameter tuning techniques, th...
Bo Yuan, Marcus Gallagher
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 8 months ago
Hybrid multiobjective genetic algorithm with a new adaptive local search process
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
Salem F. Adra, Ian Griffin, Peter J. Fleming