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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 10 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
ICANN
2005
Springer
15 years 10 months ago
Varying the Population Size of Artificial Foraging Swarms on Time Varying Landscapes
Abstract. Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophisticated) entities interacting locally with their environment cause cohere...
Carlos Fernandes, Vitorino Ramos, Agostinho C. Ros...
KES
2004
Springer
15 years 9 months ago
Epistemic Logic and Planning
Artificial Intelligence algorithms can be divided into two groups according to the type of problems they solve. Knowledge-intensive domains contain explicit knowledge, whereas know...
Shahin Maghsoudi, Ian Watson
EVOW
2001
Springer
15 years 9 months ago
Autonomous Photogrammetric Network Design Using Genetic Algorithms
Abstract. This work describes the use of genetic algorithms for automating the photogrammetric network design process. When planning a photogrammetric network, the cameras should b...
Gustavo Olague
FLAIRS
2008
15 years 6 months ago
A New Approach to Heuristic Estimations for Cost-Based Planning
Solving relaxed problems is a commonly used technique in heuristic search to derive heuristic estimates. In heuristic planning, this is usually done by expanding a planning (reach...
Raquel Fuentetaja, Daniel Borrajo, Carlos Linares ...