Year: 2016
Type: editorial
Abstract: Computational intelligence has been applied to a wide range of problems arising in different fields.Evolutionary programming, stochastic local search algorithms, swarm intelligence, and machine learning, among others, have been successfully applied to a range of optimization and classification problems which otherwise could not be tackled by traditional exact methods.More specifically, many problems arising in fields related to scientific programming have been increasingly addressed using metaheuristic algorithms from AI: scientific workflows scheduling/assignment, task assignment in distributed/parallel systems, (large-scale) data mining, knowledge discovery, and text analysis/process/classification, among others.This special issue is devoted to both theoretical and practical aspects of scientific programming related to computational intelligence.
Source: Scientific Programming
DOI: 10.1155/2016/5039793
Institutions: Pontificia Universidad Católica de Valparaíso, Universidad Central de Chile, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Centre National de la Recherche Scientifique, Maison de la Simulation, Institut de recherche en communications et cybernétique de Nantes, Université d'Angers
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,000
Awards: G4974761847, G5883426129
OpenAlex ID: W2510008138