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» Evolving heuristics with genetic programming
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AIR
2004
130views more  AIR 2004»
13 years 9 months ago
A Hybrid Framework for Over-Constrained Generalized
Abstract. In this work we study an over-constrained scheduling problem where constraints cannot be relaxed. This problem originates from a local defense agency where activities to ...
Andrew Lim, Brian Rodrigues, Ramesh Thangarajo, Fe...
GECCO
2008
Springer
175views Optimization» more  GECCO 2008»
13 years 11 months ago
Using differential evolution for symbolic regression and numerical constant creation
One problem that has plagued Genetic Programming (GP) and its derivatives is numerical constant creation. Given a mathematical formula expressed as a tree structure, the leaf node...
Brian M. Cerny, Peter C. Nelson, Chi Zhou
SMI
2008
IEEE
116views Image Analysis» more  SMI 2008»
14 years 4 months ago
Self-organizing primitives for automated shape composition
Motivated by the ability of living cells to form into specific shapes and structures, we present a new approach to shape modeling based on self-organizing primitives whose behavi...
Linge Bai, Manolya Eyiyurekli, David E. Breen
EUROGP
2007
Springer
126views Optimization» more  EUROGP 2007»
14 years 1 months ago
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach
The conversion and extension of the Incremental Pareto-Coevolution Archive algorithm (IPCA) into the domain of Genetic Programming classification is presented. In particular, the ...
Michal Lemczyk, Malcolm I. Heywood
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
14 years 4 months ago
Approximating geometric crossover in semantic space
We propose a crossover operator that works with genetic programming trees and is approximately geometric crossover in the semantic space. By defining semantic as program’s eval...
Krzysztof Krawiec, Pawel Lichocki