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.

List of contents

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).

Summary

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.

Product details

• Assisted by: Goh (Editor), Goh (Editor), Chi-Keong Goh (Editor), Yoe Tenne (Editor), Yoel Tenne (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 04.07.2012
• EAN: 9783642263613
• ISBN: 978-3-642-26361-3
• No. of pages: 412
• Weight: 651 g
• Illustrations: XX, 412 p. 74 illus. in color.
• Series: Adaptation, Learning, and Optimization; Adaptation, Learning, and Optimization; Evolutionary Learning and Optimization
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; 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