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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
16 years 1 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
PPSN
2004
Springer
16 years 13 days ago
Evolutionary Multi-agent Systems
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
Pieter Jan't Hoen, Edwin D. de Jong
ECML
2006
Springer
15 years 10 months ago
Active Learning with Irrelevant Examples
Abstract. Active learning algorithms attempt to accelerate the learning process by requesting labels for the most informative items first. In real-world problems, however, there ma...
Dominic Mazzoni, Kiri Wagstaff, Michael C. Burl
HYBRID
2000
Springer
15 years 10 months ago
Hybrid Systems Diagnosis
This paper reports on an on-going project to investigate techniques to diagnose complex dynamical systems that are modeled as hybrid systems. In particular, we examine continuous s...
Sheila A. McIlraith, Gautam Biswas, Dan Clancy, Vi...
AAAI
2007
15 years 9 months ago
Domain-Independent Construction of Pattern Database Heuristics for Cost-Optimal Planning
Heuristic search is a leading approach to domain-independent planning. For cost-optimal planning, however, existing admissible heuristics are generally too weak to effectively gui...
Patrik Haslum, Adi Botea, Malte Helmert, Blai Bone...