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Adaptation and Hybridization in Computational Intelligence

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Cover of 'Adaptation and Hybridization in Computational Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Adaptation and Hybridization in Nature-Inspired Algorithms
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    Chapter 2 Adaptation in the Differential Evolution
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    Chapter 3 On the Mutation Operators in Evolution Strategies
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    Chapter 4 Adaptation in Cooperative Coevolutionary Optimization
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    Chapter 5 Study of Lagrangian and Evolutionary Parameters in Krill Herd Algorithm
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    Chapter 6 Solutions of Non-smooth Economic Dispatch Problems by Swarm Intelligence
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    Chapter 7 Hybrid Artificial Neural Network for Fire Analysis of Steel Frames
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    Chapter 8 A Differential Evolution Algorithm with a Variable Neighborhood Search for Constrained Function Optimization
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    Chapter 9 A Memetic Differential Evolution Algorithm for the Vehicle Routing Problem with Stochastic Demands
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    Chapter 10 Modeling Nanorobot Control Using Swarm Intelligence for Blood Vessel Repair: A Rigid-Tube Model
Attention for Chapter 3: On the Mutation Operators in Evolution Strategies
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