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» Evolutionary Algorithms for the Satisfiability Problem
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GEM
2008
15 years 4 months ago
Initial Population Diversity Does Not Influence Performance
- It is widely believed that greater initial population diversity leads to improved performance in genetic algorithms. However, this assumption has not been rigorously tested previ...
Pedro A. Diaz-Gomez, Dean F. Hougen
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 7 months ago
Evolving distributed agents for managing air traffic
Air traffic management offers an intriguing real world challenge to designing large scale distributed systems using evolutionary computation. The ability to evolve effective air t...
Adrian K. Agogino, Kagan Tumer
SYNTHESE
2008
84views more  SYNTHESE 2008»
15 years 3 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
ACRI
2006
Springer
15 years 5 months ago
From Cells to Islands: An Unified Model of Cellular Parallel Genetic Algorithms
Abstract. This paper presents the Anisotropic selection scheme for cellular Genetic Algorithms (cGA). This new scheme allows to enhance diversity and to control the selective press...
David Simoncini, Philippe Collard, Sébastie...
GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
15 years 9 months ago
Credit assignment in adaptive memetic algorithms
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
J. E. Smith