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AIIDE
2009
15 years 7 months ago
Improving Offensive Performance Through Opponent Modeling
Although in theory opponent modeling can be useful in any adversarial domain, in practice it is both difficult to do accurately and to use effectively to improve game play. In thi...
Kennard Laviers, Gita Sukthankar, David W. Aha, Ma...
ATAL
2010
Springer
15 years 7 months ago
Programming norm change
To adequately deal with the unpredictable and dynamic environments normative frameworks are typically deployed in, mechanisms for modifying the norms at runtime are crucial. We pr...
Nick A. M. Tinnemeier, Mehdi Dastani, John-Jules C...
ATAL
2010
Springer
15 years 7 months ago
Divide-and-coordinate: DCOPs by agreement
In this paper we investigate an approach to provide approximate, anytime algorithms for DCOPs that can provide quality guarantees. At this aim, we propose the divide-and-coordinat...
Meritxell Vinyals, Marc Pujol, Juan A. Rodrí...
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
15 years 7 months ago
The study for transportation planning considered the inventory using hybrid genetic algorithm
The transportation planning (TP) is well-known basic network problem. However, for some real-world applications, it is often that the TP model is extended to satisfy other additio...
Shinichiro Ataka, Mitsuo Gen
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 7 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens