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GECCO
2007
Springer
132views Optimization» more  GECCO 2007»
15 years 4 months ago
Empirical analysis of ideal recombination on random decomposable problems
This paper analyzes the behavior of a selectorecombinative genetic algorithm (GA) with an ideal crossover on a class of random additively decomposable problems (rADPs). Specifical...
Kumara Sastry, Martin Pelikan, David E. Goldberg
HPDC
2005
IEEE
15 years 3 months ago
Genetic algorithm based automatic data partitioning scheme for HPF
good data partitioning scheme is the need of the time. However it is very diflcult to arrive at a good solution as the number of possible dutupartitionsfor a given real lifeprogra...
Sunil Kumar Anand, Y. N. Srikant
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 4 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
ISDA
2005
IEEE
15 years 3 months ago
Hybrid Fuzzy-Genetic Algorithm Approach for Crew Grouping
Crew grouping is an important problem and formulating a good solution always involves many challenges. For example, grouping soldiers intelligently to tank combat units, we should...
Hongbo Liu, Zhanguo Xu, Ajith Abraham
GECCO
2009
Springer
152views Optimization» more  GECCO 2009»
15 years 2 months ago
A data-based coding of candidate strings in the closest string problem
Given a set of strings S of equal lengths over an alphabet Σ, the closest string problem seeks a string over Σ whose maximum Hamming distance to any of the given strings is as s...
Bryant A. Julstrom