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GECCO
2003
Springer
14 years 17 days ago
Tightness Time for the Linkage Learning Genetic Algorithm
Abstract. This paper develops a model for tightness time, linkage learning time for a single building block, in the linkage learning genetic algorithm (LLGA). First, the existing m...
Ying-Ping Chen, David E. Goldberg
GECCO
2003
Springer
14 years 17 days ago
Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage
Ensuring building-block (BB) mixing is critical to the success of genetic and evolutionary algorithms. This study develops facetwise models to predict the BB mixing time and the po...
Kumara Sastry, David E. Goldberg
ICRA
2005
IEEE
90views Robotics» more  ICRA 2005»
14 years 29 days ago
Genetic Optimization and Simulation of a Piezoelectric Pipe-Crawling Inspection Robot
- Using the Darwin2k development software, a genetic algorithm (GA) was used to design and optimize a pipecrawling robot for parameters such as mass, power consumption, and joint e...
Geoffrey Hollinger, Jeri Briscoe
GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
13 years 8 months ago
Parsimony pressure made easy
The parsimony pressure method is perhaps the simplest and most frequently used method to control bloat in genetic programming. In this paper we first reconsider the size evolutio...
Riccardo Poli, Nicholas Freitag McPhee
CCE
2008
13 years 7 months ago
A fuzzy multiobjective algorithm for multiproduct batch plant: Application to protein production
This paper addresses the problem of the optimal design of batch plants with imprecise demands and proposes an alternative treatment of the imprecision by using fuzzy concepts. For...
A. Dietz, Alberto A. Aguilar-Lasserre, Catherine A...