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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                  | Ente Autore: | |
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| Altri autori: | , | 
| Natura: | Elettronico eBook | 
| Lingua: | English | 
| Pubblicazione: | 
      Berlin, Heidelberg :
        Springer Berlin Heidelberg : Imprint: Springer,
    
      2010.
     | 
| Edizione: | 1st ed. 2010. | 
| Serie: | Adaptation, Learning, and Optimization,
              7             | 
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/978-3-642-12775-5 | 
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                Sommario: 
            
                  - 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.
 



