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Handbook of Optimization

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Cover of 'Handbook of Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Dynamic Optimization Using Analytic and Evolutionary Approaches: A Comparative Review
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    Chapter 2 Bounded Dual Simplex Algorithm: Definition and Structure
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    Chapter 3 Some Results on Subanalytic Variational Inclusions
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    Chapter 4 Graph and Geometric Algorithms and Efficient Data Structures
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    Chapter 5 An Exact Algorithm for the Continuous Quadratic Knapsack Problem via Infimal Convolution
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    Chapter 6 Game Theoretic and Bio-inspired Optimization Approach for Autonomous Movement of MANET Nodes
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    Chapter 7 Multilocal Programming and Applications
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    Chapter 8 Differential Evolution
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    Chapter 9 Evolutionary Dynamics as The Structure of Complex Networks
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    Chapter 10 Multicriterial Projects Selection
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    Chapter 11 Symbolic Regression of Boolean Functions by Genetic Programming
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    Chapter 12 Automatic Design and Optimization of Fuzzy Inference Systems
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    Chapter 13 Theoretically Grounded Acceleration Techniques for Simulated Annealing
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    Chapter 14 Compact Optimization
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    Chapter 15 Modularity in Genetic Programming
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    Chapter 16 Theory and Applications of Hybrid Simulated Annealing
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    Chapter 17 Adaptive Variants of Differential Evolution: Towards Control-Parameter-Free Optimizers
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    Chapter 18 Takagi-Sugeno Fuzzy Representation to Modelling and State Estimation
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    Chapter 19 Evolutionary Algorithms Based on Game Theory and Cellular Automata with Coalitions
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    Chapter 20 Recent Advances in Graph Vertex Coloring
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    Chapter 21 Accelerating Firewalls: Tools, Techniques and Metrics for Optimizing Distributed Enterprise Firewalls
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    Chapter 22 Optimal Location of New Distribution Center in Supply Chain Network Design with Varying Inventory Capacity
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    Chapter 23 Search and Implementation of Optimization Algorithms in Analysis of Ultrasonic Pictures in Neurology
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    Chapter 24 Flow Shop Scheduling Using a General Approach for Differential Evolution
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    Chapter 25 Multi-objective Optimization of Low Density Polyethylene (LDPE) Tubular Reactor Using Strategies of Differential Evolution
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    Chapter 26 On Challenging Techniques for Constrained Global Optimization
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    Chapter 27 Pipeline Trace Quasi-optimum Determination
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    Chapter 28 The Use of Local Models Optimized by Genetic Programming Algorithms in Biomedical-Signal Analysis
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    Chapter 29 The Use of Optimization Methods in Business and Public Services
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    Chapter 30 Hybrid Mesh Adaptive Direct Search Genetic Algorithms and Line Search Approaches for Fuzzy Optimization Problems in Production Planning
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    Chapter 31 Application of Evolutionary Techniques for Optimization of Chaos Control – Introduction of Three Approaches
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    Chapter 32 Optimization of Artificial Neural Network Structure in the Case of Steganalysis
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    Chapter 33 GPU Based Enhanced Differential Evolution Algorithm: A Comparison between CUDA and OpenCL
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    Chapter 34 Evolutionary Optimization of Controllers
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    Chapter 35 Hybrid Self Organising Migrating – Scatter Search Algorithm
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    Chapter 36 Circle Detection Algorithm Based on Electromagnetism-Like Optimization
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    Chapter 37 Evolutionary Music Composition
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    Chapter 38 Image Segmentation Using Artificial Bee Colony Optimization
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    Chapter 39 Applications of Nature Inspired Algorithms for Electrical Engineering Optimization Problems
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    Chapter 40 Hybrid Optimization Techniques for Optimization in a Fuzzy Environment
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    Chapter 41 Feasible Joint Angle Continuous Function of Robotics Arm in Obstacles Environment Using Particle Swarm Optimization
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    Chapter 42 Basic Principle of Evolutionary Computation
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Handbook of Optimization
Published by
Springer Berlin Heidelberg, September 2012
DOI 10.1007/978-3-642-30504-7
978-3-64-230503-0, 978-3-64-230504-7

Zelinka, Ivan, Snášel, Václav, Abraham, Ajith

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Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Romania 1 2%
Brazil 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 27%
Student > Master 14 22%
Student > Doctoral Student 8 13%
Researcher 5 8%
Professor 3 5%
Other 7 11%
Unknown 9 14%
Readers by discipline Count As %
Engineering 18 29%
Computer Science 18 29%
Mathematics 3 5%
Business, Management and Accounting 3 5%
Agricultural and Biological Sciences 2 3%
Other 6 10%
Unknown 13 21%