Computational Intelligence in Optimization
Applications and Implementations
(Sprache: Englisch)
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.
real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.
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Produktinformationen zu „Computational Intelligence in Optimization “
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.
real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.
Klappentext zu „Computational Intelligence in Optimization “
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.
Inhaltsverzeichnis zu „Computational Intelligence in Optimization “
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).Bibliographische Angaben
- 2013, XX, 412 Seiten, 412 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Yoel Tenne, Chi-Keong Goh
- Verlag: Springer, Berlin
- ISBN-10: 3642263615
- ISBN-13: 9783642263613
Sprache:
Englisch
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