Normal View MARC View ISBD View

Computational Intelligence Systems in Industrial Engineering

by Kahraman, Cengiz.
Authors: SpringerLink (Online service) Series: Atlantis Computational Intelligence Systems, 1875-7650 ; . 6 Physical details: XX, 680 p. 163 illus., 56 illus. in color. online resource. ISBN: 9491216775 Subject(s): Engineering. | Computer science. | Industrial engineering. | Engineering. | Industrial and Production Engineering. | Computational Intelligence. | Computer Science, general. | Information Systems Applications (incl. Internet).
Tags from this library:
No tags from this library for this title.
Item type Location Call Number Status Date Due
E-Book E-Book AUM Main Library 670 (Browse Shelf) Not for loan

Computational Intelligent Systems in Industrial Engineering -- A Comparison of Methods For Selecting Preferred Solutions in Multiobjective Decision Making -- Using a RS to Help TTO Staff to Disseminate Selective Information -- Power of Linguistic Data Summaries and their Protoforms -- Can Fuzzy Logic Formalism Bring Complex Environmental Issues into Focus? TOPSIS and its Extensions: Applications for Road Safety Performance Evaluation -- Computational Intelligence Applications in Industrial Engineering -- A Fuzzy Analytic Network Process Approach -- Swarm Intelligence Optimization -- A Review of Genetic Algorithm Applications in Supply Chain Network Design -- Fuzzy PROMETHEE for the Environmental Quality Assessment of Energy Dedicated Crops -- Forecasting Energy Demand Using Fuzzy Seasonal Time Series -- Multi-objective Scheduling Problems for Re-entrant Shops -- An Introduction to Self-Organizing Maps -- Fuzzy Multi-Objective Programming for Energy Resource Planning -- Fuzzy Simulation Based Chance Constrained Programming -- A Cooperative Intelligent Approach for Job-shop Scheduling -- Using Fuzzy Cognitive Maps as a Modeling Tool for Traveler Satisfaction in Public Transit Systems -- Genetic Algorithm to Solve Container Storage Problem for a Single and Various Types -- Fuzzy Geometric Programming Model with Applications in Industrial Engineering -- An Artificial Intelligent Classification System for Thermoplastic Recycling Using Sensor Fusion -- Linear Programming for Distribution Network Design under Fuzzy Environment -- GSA–Based Training of Convolutional Neural Networks for OCR Applications -- Fuzzy Logic Applications in Cellular Manufacturing System Design -- The Shape of Crisis Lessons from Self Organizing Maps -- Evolutions in Particle Swarm Optimization: Benchmark on Continuous Cases -- Active Distribution Networks and Smart Grids -- Re-Mining Association Mining Results -- A Multi-Objective Evolutionary Algorithm -- Human Fatigue: Evaluation with the Usage of Bayesian Networks.

Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems. It is concerned with the development, improvement, implementation and evaluation of production and service systems. Computational Intelligence Systems find a wide application area in industrial engineering: neural networks in forecasting, fuzzy sets in capital budgeting, ant colony optimization in scheduling, Simulated Annealing in optimization, etc. This book will include most of the application areas of industrial engineering through these computational intelligence systems. In the literature, there is no book including many real and practical applications of Computational Intelligence Systems from the point of view of Industrial Engineering. Every chapter will include explanatory and didactic applications. It is aimed that the book will be a main source for MSc and PhD students.

There are no comments for this item.

Log in to your account to post a comment.