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GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
14 years 1 months ago
ERA: An Algorithm for Reducing the Epistasis of SAT Problems
A novel method, for solving satisfiability (SAT) instances is presented. It is based on two components: a) An Epistasis Reducer Algorithm (ERA) that produces a more suited represe...
Eduardo Rodriguez-Tello, Jose Torres-Jimenez
AI
1998
Springer
13 years 7 months ago
GAS, A Concept on Modeling Species in Genetic Algorithms
This paper introduces a niching technique called GAS (S stands for species) which dynamically creates a subpopulation structure (taxonomic chart) using a radius function instead of...
Márk Jelasity, József Dombi
IWANN
1995
Springer
13 years 11 months ago
Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms
This paper presents a comparative analysis of neural networks, simulated annealing, and genetic algorithms in the determination of input patterns for testing analog circuits. The ...
José Luis Bernier, Juan J. Merelo Guerv&oac...
ISDA
2008
IEEE
14 years 2 months ago
Cultural-Based Genetic Algorithm: Design and Real World Applications
Due to their excellent performance in solving combinatorial optimization problems, metaheuristics algorithms such as Genetic Algorithms (GA), Simulated Annealing (SA) and Tabu Sea...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...
GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
14 years 20 days ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel