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» Removing the Genetics from the Standard Genetic Algorithm
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EUROGP
2001
Springer
105views Optimization» more  EUROGP 2001»
14 years 1 months ago
Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems
Abstract. In this paper we continue our study on adaptive genetic programming. We use Stepwise Adaptation of Weights (saw) to boost performance of a genetic programming algorithm o...
Jeroen Eggermont, Jano I. van Hemert
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 7 days ago
Algebraic simplification of GP programs during evolution
Program bloat is a fundamental problem in the field of Genetic Programming (GP). Exponential growth of redundant and functionally useless sections of programs can quickly overcome...
Phillip Wong, Mengjie Zhang
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
14 years 2 months ago
Goal-oriented preservation of essential genetic information by offspring selection
This contribution proposes an enhanced and generic selection model for Genetic Algorithms (GAs) and Genetic Programming (GP) which is able to preserve the alleles which are part o...
Michael Affenzeller, Stefan Wagner 0002, Stephan M...
EUROGP
2005
Springer
104views Optimization» more  EUROGP 2005»
14 years 2 months ago
mGGA: The meta-Grammar Genetic Algorithm
A novel Grammatical Genetic Algorithm, the meta-Grammar Genetic Algorithm (mGGA) is presented. The mGGA borrows a grammatical representation and the ideas of modularity and reuse f...
Michael O'Neill, Anthony Brabazon
KBS
2006
87views more  KBS 2006»
13 years 8 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