Computational intelligence in optimization : applications and implementations
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 evolutiona...
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| Další autoři: | , |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edice: | Adaptation, Learning, and Optimization
7 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computational Intelligence in Optimization, Texte imprimé, 9783642127748 |
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| 245 | 0 | 0 | |a Computational intelligence in optimization : |b applications and implementations |c edited by Yoel Tenne, Chi-Keong Goh. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Adaptation, Learning, and Optimization |v 7 |x 1867-4534 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |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 | ||
| 700 | 1 | |a Tenne, Yoel. |4 pbd | |
| 700 | 1 | |a Goh, Chi-Keong. |4 pbd | |
| 776 | 0 | |t Computational Intelligence in Optimization |b Texte imprimé |z 9783642127748 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-12775-5 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-T4MZ9802-T |z Accès sur la plateforme Istex | |
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| 997 | |0 943089 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||