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Agent-Based Evolutionary Search

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Cover of 'Agent-Based Evolutionary Search'

Table of Contents

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    Book Overview
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    Chapter 1 Agent Based Evolutionary Approach: An Introduction
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    Chapter 2 Multi-Agent Evolutionary Model for Global Numerical Optimization
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    Chapter 3 An Agent Based Evolutionary Approach for Nonlinear Optimization with Equality Constraints
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    Chapter 4 Agent-Based Evolutionary Search
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    Chapter 5 Agent Based Evolutionary Dynamic Optimization
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    Chapter 6 Agent-Based Evolutionary Search
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    Chapter 7 Complex Emergent Behaviour from Evolutionary Spatial Animat Agents
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    Chapter 8 An Agent-Based Parallel Ant Algorithm with an Adaptive Migration Controller
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    Chapter 9 An Attempt to Stochastic Modeling of Memetic Systems
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    Chapter 10 Searching for the Effective Bidding Strategy Using Parameter Tuning in Genetic Algorithm
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    Chapter 11 PSO (Particle Swarm Optimization): One Method, Many Possible Applications
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    Chapter 12 VISPLORE : Exploring Particle Swarms by Visual Inspection
Attention for Chapter 10: Searching for the Effective Bidding Strategy Using Parameter Tuning in Genetic Algorithm
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Citations

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Chapter title
Searching for the Effective Bidding Strategy Using Parameter Tuning in Genetic Algorithm
Chapter number 10
Book title
Agent-Based Evolutionary Search
Published by
Springer, Berlin, Heidelberg, January 2010
DOI 10.1007/978-3-642-13425-8_10
Book ISBNs
978-3-64-213424-1, 978-3-64-213425-8
Authors

Kim Soon Gan, Patricia Anthony, Jason Teo, Kim On Chin

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Economics, Econometrics and Finance 1 100%

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