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Recent Developments in Metaheuristics

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Cover of 'Recent Developments in Metaheuristics'

Table of Contents

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    Book Overview
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    Chapter 1 Hidden Markov Model Classifier for the Adaptive Particle Swarm Optimization
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    Chapter 2 Possibilistic Framework for Multi-Objective Optimization Under Uncertainty
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    Chapter 3 Combining Neighborhoods into Local Search Strategies
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    Chapter 4 All-Terrain Tabu Search Approaches for Production Management Problems
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    Chapter 5 A Re-characterization of Hyper-Heuristics
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    Chapter 6 POSL: A Parallel-Oriented Metaheuristic-Based Solver Language
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    Chapter 7 An Extended Neighborhood Vision for Hill-Climbing Move Strategy Design
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    Chapter 8 Theory Driven Design of Efficient Genetic Algorithms for a Classical Graph Problem
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    Chapter 9 On the Impact of Representation and Algorithm Selection for Optimisation in Process Design: Motivating a Meta-Heuristic Framework
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    Chapter 10 Manufacturing Cell Formation Problem Using Hybrid Cuckoo Search Algorithm
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    Chapter 11 Hybridization of Branch and Bound Algorithm with Metaheuristics for Designing Reliable Wireless Multimedia Sensor Network
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    Chapter 12 A Hybrid MCDM Approach for Supplier Selection with a Case Study
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    Chapter 13 A Multi-Objective Optimization via Simulation Framework for Restructuring Traffic Networks Subject to Increases in Population
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    Chapter 14 Hybrid Metaheuristic for Air Traffic Management with Uncertainty
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    Chapter 15 Sampling-Based Genetic Algorithms for the Bi-Objective Stochastic Covering Tour Problem
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    Chapter 16 A Metaheuristic Framework for Dynamic Network Flow Problems
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    Chapter 17 A Greedy Randomized Adaptive Search for the Surveillance Patrol Vehicle Routing Problem
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    Chapter 18 Strip Algorithms as an Efficient Way to Initialise Population-Based Metaheuristics
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    Chapter 19 Matheuristics for the Temporal Bin Packing Problem
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    Chapter 20 A Fast Reoptimization Approach for the Dynamic Technician Routing and Scheduling Problem
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    Chapter 21 Optimized Air Routes Connections for Real Hub Schedule Using SMPSO Algorithm
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    Chapter 22 Solving the P/Prec, p j ,C ij /C max Using an Evolutionary Algorithm
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    Chapter 23 A User Experiment on Interactive Reoptimization Using Iterated Local Search
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    Chapter 24 Surrogate-Assisted Multiobjective Evolutionary Algorithm for Fuzzy Job Shop Problems
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    Chapter 25 Towards a Novel Reidentification Method Using Metaheuristics
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    Chapter 26 Facing the Feature Selection Problem with a Binary PSO-GSA Approach
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    Chapter 27 An Optimal Deployment of Readers for RFID Network Planning Using NSGA-II
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    Chapter 28 An Enhanced Bat Echolocation Approach for Security Audit Trails Analysis Using Manhattan Distance
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Title
Recent Developments in Metaheuristics
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-58253-5
ISBNs
978-3-31-958252-8, 978-3-31-958253-5
Editors

Lionel Amodeo, El-Ghazali Talbi, Farouk Yalaoui

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Student > Master 8 21%
Researcher 6 15%
Professor > Associate Professor 3 8%
Professor 2 5%
Other 7 18%
Unknown 3 8%
Readers by discipline Count As %
Computer Science 17 44%
Engineering 10 26%
Business, Management and Accounting 3 8%
Physics and Astronomy 1 3%
Sports and Recreations 1 3%
Other 2 5%
Unknown 5 13%