Computational Intelligence in Optimization - Applications and Implementations

This volume presents a collection of recent studies covering the spectrum of computational intelligence applications with emphasis on their application to challenging real-world problems. Topics covered include: Intelligent agent-based algorithms, Hybrid intelligent systems, Cognitive and evolutionary robotics, Knowledge-Based Engineering, fuzzy sets and systems, Bioinformatics and Bioengineering, Computational finance and Computational economics, Data mining, Machine learning, and Expert systems. "Computational Intelligence in Optimization" is a comprehensive reference for researchers, practitioners and advanced-level students interested in both the theory and practice of using computational intelligence in real-world applications.

Sommario

Systolic VLSI and FPGA Realization of Artificial Neural Networks.- The structure and use of opposition for decreasing function evaluations in population-based search.- A Review of Agent-Based Co-Evolutionary Algorithms for Multi-Objective Optimization.- New Hybrid Intelligent Systems to Solve Linear and Quadratic Optimization Problems and Increase Guaranteed Optimal Convergence speed of Recurrent ANN.- Optimization problems with cardinality constraints.- From Simulation to Hardware: Towards Real-World Implementation of Evolvable Neural Network-Based Multirobot Controllers.- Optimization with Clifford Support Vector Machines and applications.- A Classification method based on principle component analysis and differential evolution algorithm applied for prediction diagnosis from clinical EMR heart data bases.- Railway Timetable Problems.- Learning to Optimize: Intelligent Global Optimization using Support Vector Machines.- Project Scheduling: Time-cost tradeoff problems.- A Game Theory-Based Multi-Agent System for Expensive Optimisation Problems.- Search Procedure Exploiting Local Regularized Objective Approximation (SPELROA).

Riassunto

This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging
real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.

Dettagli sul prodotto

• Con la collaborazione di: Goh (Editore), Goh (Editore), Chi-Keong Goh (Editore), Yoe Tenne (Editore), Yoel Tenne (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 04.07.2012
• EAN: 9783642263613
• ISBN: 978-3-642-26361-3
• Pagine: 412
• Peso: 651 g
• Illustrazioni: XX, 412 p. 74 illus. in color.
• Serie: Adaptation, Learning, and Optimization; Adaptation, Learning, and Optimization; Evolutionary Learning and Optimization
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie; B, Regelungstechnik, Optimization, Robotics, Artificial Intelligence, Automation, Angewandte Mathematik, Robot, engineering, Applications of Mathematics, Engineering mathematics, Applied mathematics, Computational Intelligence, Control, Robotics, Automation, Robotics and Automation, Automatic control engineering