Abstract- Seeding the population of an evolutionary algorithm with solutions from previous runs has proved to be useful when learning control strategies for agents operating in a c...
Mitchell A. Potter, R. Paul Wiegand, H. Joseph Blu...
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
This paper presents a new Memetic Algorithm designed to compute near optimal solutions for the MinLA problem. It incorporates a highly specialized crossover operator, a fast MinLA ...
Eduardo Rodriguez-Tello, Jin-Kao Hao, Jose Torres-...
Abstract. The fast emergent areas of the Semantic Web and knowledge management push researchers to new efforts concerning ontology engineering. The development of ontologies must b...
Though the Open Archive Initiative Protocol for Metadata Harvesting (OAI-PMH) is becoming the defacto standard for digital libraries, some of its predecessors are still in use. Al...
Terry L. Harrison, Michael L. Nelson, Mohammad Zub...