Computational Intelligence in Optimization: Applications and Implementations

✍ Scribed by Otoni Nóbrega Neto, Ronaldo R. B. de Aquino (auth.), Yoel Tenne, Chi-Keong Goh (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2010
• Tongue: English
• Leaves: 424
• Series: Adaptation, Learning, and Optimization 7
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages -
New Hybrid Intelligent Systems to Solve Linear and Quadratic Optimization Problems and Increase Guaranteed Optimal Convergence Speed of Recurrent ANN....Pages 1-26
A Novel Optimization Algorithm Based on Reinforcement Learning....Pages 27-47
The Use of Opposition for Decreasing Function Evaluations in Population-Based Search....Pages 49-71
Search Procedure Exploiting Locally Regularized Objective Approximation. A Convergence Theorem for Direct Search Algorithms....Pages 73-103
Optimization Problems with Cardinality Constraints....Pages 105-130
Learning Global Optimization Through a Support Vector Machine Based Adaptive Multistart Strategy....Pages 131-154
Multi-Objective Optimization Using Surrogates....Pages 155-175
A Review of Agent-Based Co-Evolutionary Algorithms for Multi-Objective Optimization....Pages 177-209
A Game Theory-Based Multi-Agent System for Expensive Optimisation Problems....Pages 211-232
Optimization with Clifford Support Vector Machines and applications....Pages 233-262
A Classification method based on principal component analysis and differential evolution algorithm applied for prediction diagnosis from clinical EMR heart data sets....Pages 263-283
An Integrated Approach to Speed Up GA-SVM Feature Selection Model....Pages 285-298
Computation in Complex Environments;....Pages 299-324
Project Scheduling: Time-Cost Tradeoff Problems....Pages 325-357
Systolic VLSI and FPGA Realization of Artificial Neural Networks....Pages 359-380
Application of Coarse-Coding Techniques for Evolvable Multirobot Controllers....Pages 381-412

✦ Subjects

Computational Intelligence; Artificial Intelligence (incl. Robotics); Robotics and Automation; Applications of Mathematics