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Hybrid Metaheuristics

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Cover of 'Hybrid Metaheuristics'

Table of Contents

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    Book Overview
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    Chapter 1 Generic CP-Supported CMSA for Binary Integer Linear Programs
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    Chapter 2 Maximising the Net Present Value of Project Schedules Using CMSA and Parallel ACO
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    Chapter 3 An Efficient Heuristic to the Traveling Salesperson Problem with Hotel Selection
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    Chapter 4 Strategies for Iteratively Refining Layered Graph Models
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    Chapter 5 Fixed Set Search Applied to the Traveling Salesman Problem
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    Chapter 6 A Hybrid GRASP/VND Heuristic for the Design of Highly Reliable Networks
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    Chapter 7 Game of Patterns and Genetic Algorithms Under a Comparative Study
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    Chapter 8 Stochastic Local Search Algorithms for the Direct Aperture Optimisation Problem in IMRT
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    Chapter 9 Hybridization of Stochastic Tunneling with (Quasi)-Infinite Time-Horizon Tabu Search
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    Chapter 10 A Self-adaptive Differential Evolution with Fragment Insertion for the Protein Structure Prediction Problem
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    Chapter 11 Scheduling Simultaneous Resources: A Case Study on a Calibration Laboratory
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    Chapter 12 Optimization of the Velocity Profile of a Solar Car Used in the Atacama Desert
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    Chapter 13 Local Search Methods for the MRCPSP-Energy
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    Chapter 14 Adaptation of Late Acceptance Hill Climbing Algorithm for Optimizing the Office-Space Allocation Problem
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    Chapter 15 Applying an Iterated Greedy Algorithm to Production Programming on Manufacturing Environment Controlled by the PBC Ordering System
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    Chapter 16 A Symbiotic Organisms Search Algorithm for Blood Assignment Problem
Attention for Chapter 1: Generic CP-Supported CMSA for Binary Integer Linear Programs
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Chapter title
Generic CP-Supported CMSA for Binary Integer Linear Programs
Chapter number 1
Book title
Hybrid Metaheuristics
Published by
Springer, Cham, December 2018
DOI 10.1007/978-3-030-05983-5_1
Book ISBNs
978-3-03-005982-8, 978-3-03-005983-5
Authors

Christian Blum, Haroldo Gambini Santos, Blum, Christian, Gambini Santos, Haroldo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Professor 1 13%
Lecturer 1 13%
Student > Master 1 13%
Student > Ph. D. Student 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Computer Science 2 25%
Mathematics 1 13%
Unknown 5 63%