Computational Intelligence Systems in Industrial Engineering: With Recent Theory and Applications

✍ Scribed by Cengiz Kahraman (auth.), Cengiz Kahraman (eds.)

• Publisher: Atlantis Press
• Year: 2012
• Tongue: English
• Leaves: 677
• Series: Atlantis Computational Intelligence Systems 6
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xx
Computational Intelligent Systems in IndustrialEngineering....Pages 1-22
A Comparison of Methods for Selecting Preferred Solutions in Multiobjective Decision Making....Pages 23-43
Using a Recommender System to Help the Technology Transfer Office Staff to Disseminate Selective Information....Pages 45-69
Power of Linguistic Data Summaries and Their Protoforms....Pages 71-90
Can Fuzzy Logic Formalism Bring Complex Environmental Issues into Focus?....Pages 91-107
TOPSIS and its Extensions: Applications for Road Safety Performance Evaluation....Pages 109-130
Fuzzy Failure Rate for Nuclear Power Plant Probabilistic Safety Assessment by Fault Tree Analysis....Pages 131-154
A Fuzzy Analytic Network Process Approach....Pages 155-179
Swarm Intelligence Optimization: Applications of Particle Swarms in Industrial Engineering and Nuclear Power Plants....Pages 181-202
A Review of Genetic Algorithm Applications in Supply Chain Network Design....Pages 203-230
Fuzzy PROMETHEE for the Environmental Quality Assessment of Energy Dedicated Crops....Pages 231-250
Forecasting Energy Demand Using Fuzzy Seasonal Time Series....Pages 251-269
Multi-Objective Scheduling Problems for Re-Entrant Shops....Pages 271-293
An Introduction to Self-Organizing Maps....Pages 295-315
Fuzzy Multi-Objective Programming for Energy Resource Planning....Pages 317-333
Fuzzy Simulation Based Chance ConstrainedProgramming....Pages 335-361
A Cooperative Intelligent Approach for Job-shop Scheduling Based on Bacterial Foraging Strategy and Particle Swarm Optimization....Pages 363-383
Using Fuzzy Cognitive Maps as a Modeling Tool for Traveler Satisfaction in Public Transit Systems....Pages 385-404
Genetic Algorithm to Solve Container Storage Problem for a Single and Various Types....Pages 405-427
Fuzzy Geometric Programming Model with Applications in Industrial Engineering....Pages 429-449
An Artificial Intelligent Classification System for Thermoplastic Recycling Using Sensor Fusion....Pages 451-468
Linear Programming for Distribution Network Design Under Fuzzy Environment....Pages 469-479
GSA–Based Training of Convolutional Neural Networks for OCR Applications....Pages 481-504
Fuzzy Logic Applications in Cellular Manufacturing System Design....Pages 505-533
The Shape of Crisis Lessons from Self Organizing Maps....Pages 535-555
Evolutions in Particle Swarm Optimization: Benchmark on Continuous Cases....Pages 557-577
Active Distribution Networks and Smart Grids: Optimal Allocation of Wind Turbines by Using Hybrid GA and Multi-Period OPF....Pages 579-599
Re-Mining Association Mining Results Through Visualization, Data Envelopment Analysis, and Decision Trees....Pages 601-622
A Multi-Objective Evolutionary Algorithm for Finding Efficient Solutions to a Competitive Facility Location Problem....Pages 623-650
Human Fatigue: Evaluation with the Usage ofBayesian Networks....Pages 651-676
Back Matter....Pages 677-680

✦ Subjects

Industrial and Production Engineering; Computational Intelligence; Computer Science, general; Information Systems Applications (incl. Internet)