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» Data Mining for Genetics: A Genetic Algorithm Approach
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ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
14 years 2 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
GECCO
2007
Springer
189views Optimization» more  GECCO 2007»
14 years 1 months ago
A genetic algorithm with exon shuffling crossover for hard bin packing problems
A novel evolutionary approach for the bin packing problem (BPP) is presented. A simple steady-state genetic algorithm is developed that produces results comparable to other approa...
Philipp Rohlfshagen, John A. Bullinaria
EUROGP
2000
Springer
14 years 25 days ago
Seeding Genetic Programming Populations
We show genetic programming (GP) populations can evolve under the influence of a Pareto multi-objective fitness and program size selection scheme, from "perfect" programs...
William B. Langdon, Peter Nordin
IPPS
2003
IEEE
14 years 2 months ago
A Genetic Approach to Planning in Heterogeneous Computing Environments
Planning is an artificial intelligence problem with a wide range of real-world applications. Genetic algorithms, neural networks, and simulated annealing are heuristic search met...
Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay ...
SMC
2010
IEEE
158views Control Systems» more  SMC 2010»
13 years 7 months ago
A study of genetic algorithms for approximating the longest path in generic graphs
Abstract--Finding the longest simple path in a generic undirected graph is a challenging issue that belongs to the NPComplete class of problems. Four approaches based on genetic al...
David Portugal, Carlos Henggeler Antunes, Rui Roch...