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» The Spatially-Dispersed Genetic Algorithm
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105
Voted
GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
15 years 9 months ago
Hybrid real-coded mutation for genetic algorithms applied to graph layouts
In this paper we introduce an application of real-coded genetic algorithms to the problem of consistent graph layout and exploring the role of mutation for this particular problem...
Dana Vrajitoru, Jason DeBoni
155
Voted
HPCC
2007
Springer
15 years 10 months ago
Parallel Genetic Algorithms for DVS Scheduling of Distributed Embedded Systems
Many of today’s embedded systems, such as wireless and portable devices rely heavily on the limited power supply. Therefore, energy efficiency becomes one of the major design con...
Man Lin, Chen Ding
124
Voted
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
15 years 9 months ago
Advanced models of cellular genetic algorithms evaluated on SAT
Cellular genetic algorithms (cGAs) are mainly characterized by their spatially decentralized population, in which individuals can only interact with their neighbors. In this work,...
Enrique Alba, Hugo Alfonso, Bernabé Dorrons...
143
Voted
SAC
2000
ACM
15 years 8 months ago
A Weighted Coding in a Genetic Algorithm for the Degree-Constrained Minimum Spanning Tree Problem
The coding by which chromosomes represent candidate solutions is a fundamental design choice in a genetic algorithm. This paper describes a novel coding of spanning trees in a gen...
Günther R. Raidl, Bryant A. Julstrom
135
Voted
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 10 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