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» Predicting mining activity with parallel genetic algorithms
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GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
13 years 10 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...
ADMA
2005
Springer
189views Data Mining» more  ADMA 2005»
13 years 10 months ago
Parallel Genetic Algorithm and Parallel Simulated Annealing Algorithm for the Closest String Problem
In this paper, we design genetic algorithm and simulated annealing algorithm and their parallel versions to solve the Closest String problem. Our implementation and experiments sho...
Xuan Liu, Hongmei He, Ondrej Sýkora
ICTAI
2003
IEEE
13 years 10 months ago
Genetic Algorithm Calibration of Probabilistic Cellular Automata for Modeling Mining Permit Activity
We use a genetic algorithm to calibrate a spatially and temporally resolved cellular automata to model mining activity on public land in Idaho and western Montana. The genetic alg...
Sushil J. Louis, Gary L. Raines
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
13 years 11 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
KBS
2006
87views more  KBS 2006»
13 years 4 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