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» Optimization of Genetic Operators for Scheduling Problems
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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
14 years 10 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
PATAT
2004
Springer
141views Education» more  PATAT 2004»
15 years 2 months ago
A Hybrid Multi-objective Evolutionary Algorithm for the Uncapacitated Exam Proximity Problem
A hybrid Multi-Objective Evolutionary Algorithm is used to tackle the uncapacitated exam proximity problem. In this hybridization, local search operators are used instead of the tr...
Pascal Côté, Tony Wong, Robert Sabour...
GECCO
2003
Springer
122views Optimization» more  GECCO 2003»
15 years 2 months ago
Designing A Hybrid Genetic Algorithm for the Linear Ordering Problem
The Linear Ordering Problem(LOP), which is a well-known NP-hard problem, has numerous applications in various fields. Using this problem as an example, we illustrate a general pro...
Gaofeng Huang, Andrew Lim
TCAD
2002
110views more  TCAD 2002»
14 years 9 months ago
A constructive genetic algorithm for gate matrix layout problems
This paper describes an application of a Constructive Genetic Algorithm (CGA) to the Gate Matrix Layout Problem (GMLP). The GMLP happens in very large scale integration (VLSI) desi...
Alexandre César Muniz de Oliveira, Luiz Ant...
EUROSYS
2006
ACM
15 years 6 months ago
On the road to recovery: restoring data after disasters
—Restoring data operations after a disaster is a daunting task: how should recovery be performed to minimize data loss and application downtime? Administrators are under consider...
Kimberly Keeton, Dirk Beyer 0002, Ernesto Brau, Ar...