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New Optimization Techniques in Engineering

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Cover of 'New Optimization Techniques in Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Introduction to Genetic Algorithms for Engineering Optimization
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    Chapter 3 Memetic Algorithms
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    Chapter 4 Scatter Search and Path Relinking: Foundations and Advanced Designs
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    Chapter 5 Ant Colony Optimization
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    Chapter 6 Differential Evolution
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    Chapter 7 SOMA — Self-Organizing Migrating Algorithm
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    Chapter 8 Discrete Particle Swarm Optimization, illustrated by the Traveling Salesman Problem
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    Chapter 9 Applications in Heat Transfer
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    Chapter 10 Applications in Mass Transfer
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    Chapter 11 Applications in Fluid Mechanics
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    Chapter 12 Applications in Reaction Engineering
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    Chapter 13 New Ideas and Applications of Scatter Search and Path Relinking
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    Chapter 14 Improvement of Search Process in Genetic Algorithms: An Application of PCB Assembly Sequencing Problem
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    Chapter 15 An ANTS Heuristic for the Long — Term Car Pooling Problem
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    Chapter 16 Genetic Algorithms in Irrigation Planning: A Case Study of Sri Ram Sagar Project, India
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    Chapter 17 Optimization of Helical Antenna Electromagnetic Pattern Field
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    Chapter 18 VLSI design: gate matrix layout problem
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    Chapter 19 Parametric Optimization of a Fuzzy Logic Controller for Nonlinear Dynamical Systems using Evolutionary Computation
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    Chapter 20 DNA Coded GA: Rule Base Optimization of FLC for Mobile Robot
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    Chapter 21 TRIBES application to the flow shop scheduling problem
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    Chapter 22 Optimizing CNC Drilling Machine Operations: Traveling Salesman Problem-Differential Evolution Approach
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    Chapter 23 Particle Swarm Optimization for the Assignment of Facilities to Locations
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    Chapter 24 Differential Evolution for the Flow Shop Scheduling Problem
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    Chapter 25 Evaluation of Form Errors to Large Measurement Data Sets Using Scatter Search
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    Chapter 26 Mechanical engineering problem optimization by SOMA
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    Chapter 27 Scheduling and Production & Control: MA
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    Chapter 28 Determination of Optimal Machining Conditions Using Scatter Search
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    Chapter 29 Extended Frontiers in Optimization Techniques
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6 Wikipedia pages

Citations

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257 Dimensions

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13 Mendeley
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Title
New Optimization Techniques in Engineering
Published by
Springer-Verlag Berlin Heidelberg, January 2004
DOI 10.1007/978-3-540-39930-8
ISBNs
978-3-64-205767-0, 978-3-54-039930-8, 978-3-54-020167-0
Authors

Onwubolu, Godfrey C., Babu, B. V., Godfrey C. Onwubolu, B. V. Babu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 8%
United States 1 8%
Unknown 11 85%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 15%
Researcher 1 8%
Professor 1 8%
Student > Postgraduate 1 8%
Student > Ph. D. Student 1 8%
Other 2 15%
Unknown 5 38%
Readers by discipline Count As %
Computer Science 3 23%
Unspecified 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Mathematics 1 8%
Materials Science 1 8%
Other 1 8%
Unknown 5 38%