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AUSAI
1999
Springer
15 years 2 months ago
Applying Ant Algorithms and the No Fit Polygon to the Nesting Problem
In previous work solutions for the nesting problem are produced using the no fit polygon (NFP), a new evaluation method and three evolutionary algorithms (simulated annealing (SA),...
Edmund K. Burke, Graham Kendall
CEC
2010
IEEE
14 years 10 months ago
Iterated local search vs. hyper-heuristics: Towards general-purpose search algorithms
An important challenge within hyper-heuristic research is to design search methodologies that work well, not only across different instances of the same problem, but also across di...
Edmund K. Burke, Timothy Curtois, Matthew R. Hyde,...
EMO
2001
Springer
150views Optimization» more  EMO 2001»
15 years 2 months ago
On the Effects of Archiving, Elitism, and Density Based Selection in Evolutionary Multi-objective Optimization
This paper studies the influence of what are recognized as key issues in evolutionary multi-objective optimization: archiving (to keep track of the current non-dominated solutions...
Marco Laumanns, Eckart Zitzler, Lothar Thiele
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 1 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
14 years 10 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu