Yoel Tenne & Chi-Keong Goh 
Computational Intelligence in Optimization [PDF ebook] 
Applications and Implementations

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Содержание

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.

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язык английский ● Формат PDF ● страницы 412 ● ISBN 9783642127755 ● Размер файла 9.3 MB ● редактор Yoel Tenne & Chi-Keong Goh ● издатель Springer Berlin ● город Heidelberg ● Страна DE ● опубликованный 2010 ● Загружаемые 24 месяцы ● валюта EUR ● Код товара 2171885 ● Защита от копирования Социальный DRM

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