Scientific Programming in Computational Intelligence

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.