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» Genetic Algorithms for Component Analysis
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GECCO
2006
Springer
200views Optimization» more  GECCO 2006»
15 years 8 months ago
A new approach for shortest path routing problem by random key-based GA
In this paper, we propose a Genetic Algorithm (GA) approach using a new paths growth procedure by the random key-based encoding for solving Shortest Path Routing (SPR) problem. An...
Mitsuo Gen, Lin Lin
CEC
2010
IEEE
15 years 6 months ago
Fitness landscape analysis for evolutionary non-photorealistic rendering
The best evolutionary approach can be a difficult problem. In this work we have investigated two evolutionary representations to evolve non-photorealistic renderings: a variable-le...
Jeff Riley, Victor Ciesielski
155
Voted
SIGADA
2004
Springer
15 years 10 months ago
Comparative analysis of genetic algorithm implementations
Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
Robert Soricone, Melvin Neville
175
Voted
IJON
2006
131views more  IJON 2006»
15 years 5 months ago
Optimizing blind source separation with guided genetic algorithms
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
J. M. Górriz, Carlos García Puntonet...
78
Voted
GECCO
2005
Springer
15 years 10 months ago
On the practical genetic algorithms
This paper offers practical design-guidelines for developing efficient genetic algorithms (GAs) to successfully solve realworld problems. As an important design component, a prac...
Chang Wook Ahn, Sanghoun Oh, Rudrapatna S. Ramakri...