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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 Tenne, Yoel.
|e editor.
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|a Computational Intelligence in Optimization
|b Applications and Implementations /
|c edited by Yoel Tenne, Chi-Keong Goh.
|h [electronic resource] :
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2010.
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|a 315p. 74 illus. in color.
|b online resource.
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|a text
|b txt
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|b PDF
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|a Adaptation, Learning, and Optimization,
|v 7
|x 1867-4534 ;
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|a 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).
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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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|a Engineering.
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|a Artificial intelligence.
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|a Mathematics.
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|a Engineering.
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|a Computational Intelligence.
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|a Artificial Intelligence (incl. Robotics).
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|a Robotics and Automation.
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|a Applications of Mathematics.
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|a Goh, Chi-Keong.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783642127748
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|a Adaptation, Learning, and Optimization,
|v 7
|x 1867-4534 ;
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-12775-5
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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