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» Dynamic populations in genetic algorithms
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ICCS
2007
Springer
15 years 6 months ago
Using Computer Simulation to Understand Mutation Accumulation Dynamics and Genetic Load
Long-standing theoretical concerns about mutation accumulation within the human population can now be addressed with numerical simulation. We apply a biologically realistic forward...
John Sanford, John Baumgardner, Wes Brewer, Paul G...
SIGADA
2004
Springer
15 years 5 months ago
Comparative analysis of genetic algorithm implementations
Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
Robert Soricone, Melvin Neville
SPDP
1993
IEEE
15 years 4 months ago
Extended Distributed Genetic Algorithm for Channel Routing
In this paper, we propose a new parallel genetic alge rithm (GA), called Extended Distributed Genetic Algorithm (EDGA), for channel routing problem. The EDGA combines the advantag...
B. B. Prahlada Rao, R. C. Hansdah
TSMC
2002
125views more  TSMC 2002»
15 years 2 days ago
Dynamic page based crossover in linear genetic programming
Page-based Linear Genetic Programming (GP) is proposed in which individuals are described in terms of a number of pages. Pages are expressed in terms of a fixed number of instructi...
Malcolm I. Heywood, A. Nur Zincir-Heywood
GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
15 years 5 months ago
Mutation Rates in the Context of Hybrid Genetic Algorithms
Traditionally, the mutation rates of genetic algorithms are fixed or decrease over the generations. Although it seems to be reasonable for classical genetic algorithms, it may not...
Seung-Hee Bae, Byung Ro Moon