— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
In this paper, we perform a comparative study of different heuristics used to design combinational logic circuits. The use of local search hybridized with a genetic algorithm and ...
Carlos A. Coello Coello, Enrique Alba, Gabriel Luq...
Abstract. In this paper we study the performance of linguisticallymotivated conflation techniques for Information Retrieval in Spanish. In particular, we have studied the applicat...
Boolean linear programs (BLPs) are ubiquitous in AI. Satisfiability testing, planning with resource constraints, and winner determination in combinatorial auctions are all example...
Dale Schuurmans, Finnegan Southey, Robert C. Holte
Hyper-heuristics can be thought of as “heuristics to choose heuristics”. They are concerned with adaptively finding solution methods, rather than directly producing a solutio...