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CEC
2009
IEEE
15 years 11 months ago
Comparing parameter tuning methods for evolutionary algorithms
Abstract— Tuning the parameters of an evolutionary algorithm (EA) to a given problem at hand is essential for good algorithm performance. Optimizing parameter values is, however,...
Selmar K. Smit, A. E. Eiben
IAT
2006
IEEE
15 years 10 months ago
A Multi-stage Graph Decomposition Algorithm for Distributed Constraint Optimisation
In this paper, we propose a novel approach to solving the distributed constraint optimisation problem (DCOP) that guarantees completeness, while having linear communication comple...
Terence H.-W. Law, Adrian R. Pearce
AAAI
1994
15 years 5 months ago
Solution Reuse in Dynamic Constraint Satisfaction Problems
Many AI problems can be modeled as constraint satisfaction problems (CSP), but many of them are actually dynamic: the set of constraints to consider evolves because of the environ...
Gérard Verfaillie, Thomas Schiex
ATAL
2010
Springer
15 years 5 months ago
Success, strategy and skill: an experimental study
In many AI settings an agent is comprised of both actionplanning and action-execution components. We examine the relationship between the precision of the execution component, the...
Christopher Archibald, Alon Altman, Yoav Shoham
JUCS
2006
145views more  JUCS 2006»
15 years 4 months ago
Computer Science, Logic, Informatics Education
: Our aim is to discuss what, when and, how deep logic should be taught in the computer science education in connection with the so called "Bologna process". We survey th...
Katalin Pásztor-Varga, Magda Várter&...