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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 9: Optimization of Multiple Traveling Salesmen Problem by a Novel Representation Based Genetic Algorithm
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Citations

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Chapter title
Optimization of Multiple Traveling Salesmen Problem by a Novel Representation Based Genetic Algorithm
Chapter number 9
Book title
Intelligent Computational Optimization in Engineering
Published by
Springer, Berlin, Heidelberg, January 2011
DOI 10.1007/978-3-642-21705-0_9
Book ISBNs
978-3-64-221704-3, 978-3-64-221705-0
Authors

András Király, János Abonyi

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Student > Master 11 21%
Researcher 6 11%
Student > Bachelor 3 6%
Professor 3 6%
Other 10 19%
Unknown 7 13%
Readers by discipline Count As %
Engineering 21 40%
Computer Science 13 25%
Mathematics 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Business, Management and Accounting 1 2%
Other 4 8%
Unknown 11 21%