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» Genetic algorithms using low-discrepancy sequences
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GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
15 years 8 months ago
Choreogenetics: the generation of choreographic variants through genetic mutations and selection
In this paper, a genetic algorithm is introduced to generate variants of a choreographic sequence, which are then selected using different criteria. The mutation phase of the algo...
François-Joseph Lapointe
IAJIT
2010
94views more  IAJIT 2010»
15 years 1 months ago
Multiple Warehouses Scheduling Using Steady State. Genetic Algorithms
: Warehouses scheduling is the problem of sequencing requests of products to fulfill several customers’ orders so as to minimize the average time and shipping costs. In this pape...
Jalal Atoum, Mamoun Al Rababaa
CEC
2009
IEEE
15 years 8 months ago
A parallel genetic algorithm for protein folding prediction using the 3D-HP Side Chain model
— This work presents a methodology for the application of a parallel genetic algorithm (PGA) to the problem of protein folding prediction, using the 3DHP-Side Chain model. This m...
César Manuel Vargas Benítez, Heitor ...
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GECCO
1999
Springer
126views Optimization» more  GECCO 1999»
15 years 7 months ago
Improving Genetic Algorithms by Search Space Reductions (with Applications to Flow Shop Scheduling)
Crossover operators that preserve common components can also preserve representation level constraints. Consequently, these constraints can be used to beneficially reduce the sea...
Stephen Y. Chen, Stephen F. Smith
GECCO
2000
Springer
112views Optimization» more  GECCO 2000»
15 years 6 months ago
Code Compaction Using Genetic Algorithms
One method for compacting executable computer code is to replace commonly repeated sequences of instructions with macro instructions from a decoding dictionary. The size of the de...
Keith E. Mathias, Larry J. Eshelman, J. David Scha...