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Evolutionary Computation in Combinatorial Optimization

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Cover of 'Evolutionary Computation in Combinatorial Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Fairer Comparisons for Travelling Salesman Problem Solutions Using Hash Functions
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    Chapter 2 Application of Adapt-CMSA to the Two-Echelon Electric Vehicle Routing Problem with Simultaneous Pickup and Deliveries
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    Chapter 3 Real-World Vehicle Routing Using Adaptive Large Neighborhood Search
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    Chapter 4 A Multilevel Optimization Approach for Large Scale Battery Exchange Station Location Planning
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    Chapter 5 A Memetic Algorithm for Deinterleaving Pulse Trains
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    Chapter 6 Application of Negative Learning Ant Colony Optimization to the Far from Most String Problem
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    Chapter 7 Monte Carlo Tree Search with Adaptive Simulation: A Case Study on Weighted Vertex Coloring
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    Chapter 8 Evolutionary Strategies for the Design of Binary Linear Codes
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    Chapter 9 A Policy-Based Learning Beam Search for Combinatorial Optimization
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    Chapter 10 Cooperative Coevolutionary Genetic Programming Hyper-Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing
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    Chapter 11 OneMax Is Not the Easiest Function for Fitness Improvements
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    Chapter 12 The Cost of Randomness in Evolutionary Algorithms: Crossover can Save Random Bits
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    Chapter 13 Multi-objectivization Relaxes Multi-funnel Structures in Single-objective NK-landscapes
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    Chapter 14 Decision/Objective Space Trajectory Networks for Multi-objective Combinatorial Optimisation
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    Chapter 15 On the Effect of Solution Representation and Neighborhood Definition in AutoML Fitness Landscapes
Attention for Chapter 6: Application of Negative Learning Ant Colony Optimization to the Far from Most String Problem
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Chapter title
Application of Negative Learning Ant Colony Optimization to the Far from Most String Problem
Chapter number 6
Book title
Evolutionary Computation in Combinatorial Optimization
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-30035-6_6
Book ISBNs
978-3-03-130034-9, 978-3-03-130035-6
Authors

Blum, Christian, Pinacho-Davidson, Pedro

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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 %
Lecturer 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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