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: SpringerLink (Online service)
Altri autori: Tenne, Yoel. (Redattore, http://id.loc.gov/vocabulary/relators/edt), Goh, Chi-Keong. (Redattore, http://id.loc.gov/vocabulary/relators/edt)
Natura: Elettronico eBook
Lingua:English
Pubblicazione: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edizione:1st ed. 2010.
Serie:Adaptation, Learning, and Optimization, 7
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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.