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| LEADER |
02668nam a22003495i 4500 |
| 001 |
978-3-540-76286-7 |
| 005 |
20191026072143.0 |
| 007 |
cr nn 008mamaa |
| 008 |
100301s2008 gw | s |||| 0|eng d |
| 020 |
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|a 9783540762867
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| 024 |
7 |
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|a 10.1007/978-3-540-76286-7
|2 doi
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| 040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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| 245 |
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|a Success in Evolutionary Computation
|c edited by Ang Yang, Yin Shan, Lam Thu Bui.
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| 250 |
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|a 1st ed. 2008.
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| 260 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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| 300 |
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|a VIII, 372 p.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Studies in Computational Intelligence,
|v 92
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|a Theory -- Adaptation of a Success Story in GAs: Estimation-of-Distribution Algorithms for Tree-based Optimization Problems -- The Automated Design of Artificial Neural Networks Using Evolutionary Computation -- A Versatile Surrogate-Assisted Memetic Algorithm for Optimization of Computationally Expensive Functions and its Engineering Applications -- Data Mining and Intelligent Multi-Agent Technologies in Medical Informatics -- Applications -- Evolving Trading Rules -- A Hybrid Genetic Algorithm for the Protein Folding Problem Using the 2D-HP Lattice Model -- Optimal Management of Agricultural Systems -- Evolutionary Electronics: Automatic Synthesis of Analog Circuits by GAs -- Intuitive Visualization and Interactive Analysis of Pareto Sets Applied on Production Engineering System -- Privacy Protection with Genetic Algorithms -- A Revision of Evolutionary Computation Techniques in Telecommunications and An Application for The Network Global Planning Problem -- Survivable Network Design with an Evolution Strategy -- Evolutionary Computations for Design Optimization and Test Automation in VLSI Circuits -- Evolving Cooperative Agents in Economy Market Using Genetic Algorithms -- Optimizing Multiplicative General Parameter Finite Impulse Response Filters Using Evolutionary Computation -- Applying Genetic Algorithms to Optimize the Cost of Multiple Sourcing Supply Chain Systems – An Industry Case Study.
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| 650 |
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|a Applied mathematics.
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| 650 |
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|a Engineering mathematics.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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4 |
|a Mathematical and Computational Engineering.
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| 650 |
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4 |
|a Artificial Intelligence.
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| 700 |
1 |
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|a Yang, Ang.
|e editor.
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| 700 |
1 |
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|a Shan, Yin.
|e editor.
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| 700 |
1 |
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|a Bui, Lam Thu.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 856 |
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|u https://doi.org/10.1007/978-3-540-76286-7
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