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GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
14 years 10 months ago
Speed-up techniques for solving large-scale bTSP with the Two-Phase Pareto Local Search
We first present a method, called Two-Phase Pareto Local Search, to find a good approximation of the efficient set of the biobjective traveling salesman problem. In the first p...
Thibaut Lust
GECCO
2004
Springer
15 years 3 months ago
How Are We Doing? Predicting Evolutionary Algorithm Performance
Abstract. Given an evolutionary algorithm for a problem and an instance of the problem, the results of several trials of the EA on the instance constitute a sample from the distrib...
Mark A. Renslow, Brenda Hinkemeyer, Bryant A. Juls...
COCO
2006
Springer
113views Algorithms» more  COCO 2006»
15 years 1 months ago
On the Complexity of Numerical Analysis
We study two quite different approaches to understanding the complexity of fundamental problems in numerical analysis. We show that both hinge on the question of understanding the...
Eric Allender, Peter Bürgisser, Johan Kjeldga...
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 3 months ago
A systemic computation platform for the modelling and analysis of processes with natural characteristics
Computation in biology and in conventional computer architectures seem to share some features, yet many of their important characteristics are very different. To address this, [1]...
Erwan Le Martelot, Peter J. Bentley, R. Beau Lotto
GECCO
2003
Springer
142views Optimization» more  GECCO 2003»
15 years 3 months ago
Revisiting Elitism in Ant Colony Optimization
Ant Colony Optimization (ACO) has been applied successfully in solving the Traveling Salesman Problem. Marco Dorigo et al. used Ant System (AS) to explore the Symmetric Traveling S...
Tony White, Simon Kaegi, Terri Oda