Combinations of Intelligent Methods and Applications
Subtitle: Proceedings of the 3rd International Workshop, CIMA 2012, Montpellier, France, August 2012
By: edited by Ioannis Hatzilygeroudis, Vasile Palade
Contributors: Palade, Vasile; SpringerLink (Online service)
Series: Smart Innovation, Systems and Technologies -- 23
Publisher: Springer Berlin Heidelberg; Imprint: Springer
Published: 2013
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] :
Number of pages: 156
ISBN-13: 9783642366512
Subjects: Engineering; Computational intelligence; Artificial intelligence; Artificial Intelligence (incl. Robotics)
Description: The combination of different intelligent methods is a very active research area in Artificial Intelligence (AI). The aim is to create integrated or hybrid methods that benefit from each of their components.  The 3rd Workshop on “Combinations of Intelligent Methods and Applications” (CIMA 2012) was intended to become a forum for exchanging experience and ideas among researchers and practitioners who are dealing with combining intelligent methods either based on first principles or in the context of specific applications. CIMA 2012 was held in conjunction with the 22nd European Conference on Artificial Intelligence (ECAI 2012).This volume includes revised versions of the papers presented at CIMA 2012.
Table of contents: title: Intelligent agents: integrating multiple components through a symbolic structure; title: An Architecture for Multi-Dimensional Temporal Abstraction Supporting Decision Making in Oil-Well Drilling; title: A new impulse noise filtering algorithm based on a neuro-fuzzy network; title: A Fuzzy System for Educational Tasks for Children with Reading and Writing Disabilities; title: Optimizing the Performance of a Refrigeration System Using an Invasive Weed Optimization Algorithm; title: A New Cooperative Evolutionary Multi-Swarm Optimizer Algorithm Based on CUDA Architecture Applied to Engineering Optimization; title: Hybrid Approach of Genetic Programming and Quantum-Behaved Particle Swarm Optimization for Modeling and Optimization of Fermentation Processes; title: Hybrid Client Specific Discriminate Analysis and its Application to Face Verification.