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Intelligent Computational Optimization in Engineering

Overview of attention for book
Intelligent Computational Optimization in Engineering
Springer Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 Intelligent Computational Optimization in Engineering: Techniques and Applications
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    Chapter 2 Learning Automata in Control Planning Strategies
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    Chapter 3 Optimization Strategies for Restricted Candidate Lists in Field Service Scheduling
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    Chapter 4 Framework for Integrating Optimization and Heuristic Models for Solving Planning and Scheduling Problem in a Resin Manufacturing Plant
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    Chapter 5 Evolutionary Algorithms in the Optimal Sizing of Analog Circuits
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    Chapter 6 Application of Estimation of Distribution Algorithms for Nuclear Fuel Management
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    Chapter 7 Optimal Control Systems with Reduced Parametric Sensitivity Based on Particle Swarm Optimization and Simulated Annealing
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    Chapter 8 Comparison of Evolutionary and Swarm Intelligence Methods for History Matching and Uncertainty Quantification in Petroleum Reservoir Models
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    Chapter 9 Optimization of Multiple Traveling Salesmen Problem by a Novel Representation Based Genetic Algorithm
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    Chapter 10 Out-of-the-Box and Custom Implementation of Metaheuristics. A Case Study: The Vehicle Routing Problem with Stochastic Demand
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    Chapter 11 Analogue Circuit Optimization through a Hybrid Approach
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    Chapter 12 Evolutionary Inventory Control for Multi-Echelon Systems
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    Chapter 13 Fuzzy Skyhook Surface Control Using Micro-Genetic Algorithm for Vehicle Suspension Ride Comfort
Attention for Chapter 12: Evolutionary Inventory Control for Multi-Echelon Systems
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Citations

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Chapter title
Evolutionary Inventory Control for Multi-Echelon Systems
Chapter number 12
Book title
Intelligent Computational Optimization in Engineering
Published by
Springer, Berlin, Heidelberg, January 2011
DOI 10.1007/978-3-642-21705-0_12
Book ISBNs
978-3-64-221704-3, 978-3-64-221705-0
Authors

Dilay Çelebi, Çelebi, Dilay

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 60%
Student > Bachelor 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Engineering 2 40%
Decision Sciences 1 20%