Computational Intelligence in Optimization Applications and Implementations /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Tenne, Yoel (Επιμελητής έκδοσης), Goh, Chi-Keong (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Σειρά: Adaptation, Learning, and Optimization, 7
• Θέματα: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computational intelligence.; Robotics.; Automation.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Robotics and Automation.; Applications of Mathematics.

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...

Πίνακας περιεχομένων:

• 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.