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Engineering - Computational Intelligence and Complexity | Computational Intelligence in Optimization - Applications and Implementations

Computational Intelligence in Optimization

Applications and Implementations

Tenne, Yoel, Goh, Chi-Keong (Eds.)

2010, 315p. 74 illus. in color.

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  • Presents state-of-the-art applications and implementations of computational intelligence
  • Offers both theoretical treatments and real-world insights
  • A comprehensive reference on the use of computational intelligence in real-world applications

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.

Content Level » Research

Keywords » Simulation - agent-based algorithms - bioinformatics - computational intelligence - data mining - diagnosis - fuzzy logic - fuzzy sets - machine learning - multi-agent system - multi-objective optimization - neural network - neural networks - optimization - robot

Related subjects » Applications - Artificial Intelligence - Computational Intelligence and Complexity - Robotics

Table of contents 

New Hybrid Intelligent Systems to Solve Linear and Quadratic Optimization Problems and Increase Guaranteed Optimal Convergence Speed of Recurrent ANN.- A Novel Optimization Algorithm Based on Reinforcement Learning.- The Use of Opposition for Decreasing Function Evaluations in Population-Based Search.- Search Procedure Exploiting Locally Regularized Objective Approximation. A Convergence Theorem for Direct Search Algorithms.- Optimization Problems with Cardinality Constraints.- Learning Global Optimization Through a Support Vector Machine Based Adaptive Multistart Strategy.- Multi-Objective Optimization Using Surrogates.- A Review of Agent-Based Co-Evolutionary Algorithms for Multi-Objective Optimization.- A Game Theory-Based Multi-Agent System for Expensive Optimisation Problems.- Optimization with Clifford Support Vector Machines and applications.- A Classification method based on principal component analysis and differential evolution algorithm applied for prediction diagnosis from clinical EMR heart data sets.- An Integrated Approach to Speed Up GA-SVM Feature Selection Model.- Computation in Complex Environments;.- Project Scheduling: Time-Cost Tradeoff Problems.- Systolic VLSI and FPGA Realization of Artificial Neural Networks.- Application of Coarse-Coding Techniques for Evolvable Multirobot Controllers.

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