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...
Uloženo v:
| 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 |
| Poznámka: |
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 |
Obsah:
- 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