Cargando…

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Tenne, Yoel (Editor ), Goh, Chi-Keong (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Adaptation, Learning, and Optimization, 7
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.