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Intelligent Computational Optimization in Engineering

Overview of attention for book
Cover of 'Intelligent Computational Optimization in Engineering'

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 3: Optimization Strategies for Restricted Candidate Lists in Field Service Scheduling
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Chapter title
Optimization Strategies for Restricted Candidate Lists in Field Service Scheduling
Chapter number 3
Book title
Intelligent Computational Optimization in Engineering
Published in
Studies in Computational Intelligence, January 2011
DOI 10.1007/978-3-642-21705-0_3
Book ISBNs
978-3-64-221704-3, 978-3-64-221705-0
Authors

Marko Žerdin, Alexander Gibrekhterman, Uzi Zahavi, Dovi Yellin

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Doctoral Student 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Business, Management and Accounting 1 33%
Computer Science 1 33%
Engineering 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 October 2011.
All research outputs
#17,732,227
of 25,992,468 outputs
Outputs from Studies in Computational Intelligence
#1
of 1 outputs
Outputs of similar age
#154,819
of 193,647 outputs
Outputs of similar age from Studies in Computational Intelligence
#1
of 1 outputs
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So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.0. This one scored the same or higher as 0 of them.
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We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them