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|a 9783642127755
|9 978-3-642-12775-5
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|a 10.1007/978-3-642-12775-5
|2 doi
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|a Computational Intelligence in Optimization
|h [electronic resource] :
|b Applications and Implementations /
|c edited by Yoel Tenne, Chi-Keong Goh.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2010.
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|a XX, 412 p. 74 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|a Adaptation, Learning, and Optimization,
|x 1867-4534 ;
|v 7
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|a 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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|a 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.
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650 |
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|a Engineering.
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|a Artificial intelligence.
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650 |
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|a Applied mathematics.
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|a Engineering mathematics.
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|a Computational intelligence.
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|a Robotics.
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|a Automation.
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|a Engineering.
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|a Computational Intelligence.
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650 |
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|a Artificial Intelligence (incl. Robotics).
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650 |
2 |
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|a Robotics and Automation.
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650 |
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|a Applications of Mathematics.
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700 |
1 |
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|a Tenne, Yoel.
|e editor.
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700 |
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|a Goh, Chi-Keong.
|e editor.
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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8 |
|i Printed edition:
|z 9783642127748
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830 |
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|a Adaptation, Learning, and Optimization,
|x 1867-4534 ;
|v 7
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856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-642-12775-5
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-ENG
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950 |
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|a Engineering (Springer-11647)
|