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GECCO
2003
Springer
124views Optimization» more  GECCO 2003»
15 years 11 months ago
Integrated Genetic Algorithm with Hill Climbing for Bandwidth Minimization Problem
In this paper, we propose an integrated Genetic Algorithm with Hill Climbing to solve the matrix bandwidth minimization problem, which is to reduce bandwidth by permuting rows and ...
Andrew Lim, Brian Rodrigues, Fei Xiao
ISCIS
2003
Springer
15 years 11 months ago
A New Continuous Action-Set Learning Automaton for Function Optimization
In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorr...
Hamid Beigy, Mohammad Reza Meybodi
GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
15 years 11 months ago
Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed
We propose a multistart CMA-ES with equal budgets for two interlaced restart strategies, one with an increasing population size and one with varying small population sizes. This B...
Nikolaus Hansen
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 10 months ago
Elementary landscapes of frequency assignment problems
We analyze various forms of the Frequency Assignment Problem using the theory of elementary landscapes. We show that three variants of the Frequency Assignment Problem are either ...
L. Darrell Whitley, J. Francisco Chicano, Enrique ...
EVOW
2007
Springer
15 years 10 months ago
Multiclass Object Recognition Based on Texture Linear Genetic Programming
This paper presents a linear genetic programming approach, that solves simultaneously the region selection and feature extraction tasks, that are applicable to common image recogni...
Gustavo Olague, Eva Romero, Leonardo Trujillo, Bir...