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» Solving Hierarchical Optimization Problems Using MOEAs
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GECCO
2007
Springer
215views Optimization» more  GECCO 2007»
15 years 4 months ago
Finding safety errors with ACO
Model Checking is a well-known and fully automatic technique for checking software properties, usually given as temporal logic formulae on the program variables. Most model checke...
Enrique Alba, J. Francisco Chicano
EMO
2006
Springer
161views Optimization» more  EMO 2006»
15 years 4 months ago
Design Issues in a Multiobjective Cellular Genetic Algorithm
In this paper we study a number of issues related to the design of a cellular genetic algorithm (cGA) for multiobjective optimization. We take as an starting point an algorithm fol...
Antonio J. Nebro, Juan José Durillo, Franci...
COGSCI
2010
234views more  COGSCI 2010»
15 years 25 days ago
High Regularities in Eye-Movement Patterns Reveal the Dynamics of the Visual Working Memory Allocation Mechanism
With only two to five slots of visual working memory (VWM), humans are able to quickly solve complex visual problems to near optimal solutions. To explain the paradox between tigh...
Xiaohui Kong, Christian D. Schunn, Garrick L. Wall...
KR
1994
Springer
15 years 4 months ago
Risk-Sensitive Planning with Probabilistic Decision Graphs
Probabilistic AI planning methods that minimize expected execution cost have a neutral attitude towards risk. We demonstrate how one can transform planning problems for risk-sensi...
Sven Koenig, Reid G. Simmons
106
Voted
INFORMATICALT
2002
91views more  INFORMATICALT 2002»
15 years 12 days ago
Bayesian Heuristic Approach to Scheduling
Abstract. Real life scheduling problems are solved by heuristics with parameters defined by experts, as usual. In this paper a new approach is proposed where the parameters of vari...
Jonas Mockus