Recent developments in metaheuristics /

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Bibliographic Details
Imprint:	Cham : Springer, 2018.
Description:	1 online resource (xxiii, 496 pages) : 190 illustrations, 75 illustrations in color
Language:	English
Series:	Operations Research/Computer Science Interfaces Series, 1387-666X ; 62 Operations research/computer science interfaces series ; 62.
Subject:	Metaheuristics -- Research. Computer science -- Mathematics. Operations research. Business. Computer science -- Mathematics. Management science. Operations research. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11542297

Hidden Bibliographic Details
Other authors / contributors:	Amodeo, Lionel, editor. Talbi, El-Ghazali, editor. Yalaoui, Farouk, editor.
ISBN:	9783319582535 3319582534 9783319582528
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references and index.
Summary:	This book highlights state-of-the-art developments in metaheuristics research. It examines all aspects of metaheuristic research including new algorithmic developments, applications, new research challenges, theoretical developments, implementation issues, in-depth experimental studies. The book is divided into two sections. Part I is focused on new optimization and modeling techniques based on metaheuristics. The chapters in this section cover topics from multi-objective problems with fuzzy data with triangular-valued objective functions, to hyper-heuristics optimization methodology, designing genetic algorithms, and also the cuckoo search algorithm. The techniques described help to enhance the usability and increase the potential of metaheuristic algorithms. Part II showcases advanced metaheuristic approaches to solve real-life applications issues. This includes an examination of scheduling, the vehicle routing problem, multimedia sensor network, supplier selection, bin packing, objects tracking, and radio frequency identification. In the fields covered in the chapters are of high-impact applications of metaheuristics. The chapters offer innovative applications of metaheuristics that have a potential of widening research frontiers. Altogether, this book offers a comprehensive look at how researchers are currently using metaheuristics in different domains of design and application.
Other form:	Printed edition: 9783319582528
Standard no.:	10.1007/978-3-319-58253-5

Table of Contents:

Chapter 1. Hidden Markov Model Classifier for the Adaptive Particle Swarm Optimization
by Oussama Aoun, Malek Sarhani and Abdellatif El Afia
Chapter 2. Possibilistic Framework for Multi-objective Optimization under Uncertainty
by Oumayma Bahri and Nahla Ben Amor and El-Ghazali Talbi
Chapter 3. Combining Neighborhoods into Local Search Strategies
by Renaud De Landtsheer, Yoann Guyot, Gustavo Ospina, and Christophe Ponsard
Chapter 4 All-Terrain Tabu Search Approaches for Production Management Problems
by Nicolas Zufferey Jean Respen Simon Thevenin
Chapter 5. A re-characterization of hyper-heuristics
by Jerry Swan, Patrick De Causmaecker, Simon Martin, Ender Ozcan
Chapter 6. POSL: A Parallel-Oriented metaheuristic-based Solver Language
by Alejandro Reyes Amaro, Eric Monfroy and Florian Richoux
Chapter 7. An Extended Neighborhood Vision for Hill-climbing Move Strategy Design
by Sara Tari, Matthieu Basseur and Adrien Goeffon
Chapter 8. Theory driven design of efficient genetic algorithms for a classical graph problem
by Dogan Corus and Per Kristian Lehre
Chapter 9. On the impact of representation and algorithm selection for optimisation in process design: motivating a meta-heuristic framework
by Eric S. Fraga, Abdellah Salhi and El-Ghazali Talbi
Chapter 10. Manufacturing Cell Formation Problem using Hybrid Cuckoo Search Algorithm
by Bouchra Karoum, Bouazza Elbenani, Noussaima El Khattabi and Abdelhakim A. El Imrani
Chapter 11. Hybridization of Branch and Bound Algorithm with Metaheuristics for Designing Reliable Wireless Multimedia Sensor Network
by Omer Ozkan, Murat Ermis, and Ilker Bekmezci
Chapter 12. A hybrid MCDM approach for supplier selection with a case study
by Hanane Asselaou, Brahim Ouhbi and Bouchra Frikh
Chapter 13. A Multi-Objective Optimization via Simulation framework for restructuring traffic networks subject to increases in population
by Enrique Gabriel Baquela and Ana Carolina Olivera
Chapter 14. Hybrid metaheuristic for air traffic management with uncertainty
by S. Chaimatanan and D. Delahaye and M. Mongeau
Chapter 15. Sampling-Based Genetic Algorithms for the Bi-Objective Stochastic Covering Tour Problem
by Michaela Zehetner and Walter J. Gutjahr
Chapter 16. A metaheuristic framework for dynamic network flow problems
by M. Hajjem, H. Bouziri and E.G. Talbi
Chapter 17. A Greedy Randomized Adaptive Search for the Surveillance Patrol Vehicle Routing Problem
by Simona Mancini
Chapter 18. Strip Algorithms as an Efficient Way to Initialise Population-based Metaheuristics
by Birsen ˙Irem Selamoglu, Abdellah Salhi and Muhammad Sulaiman
Chapter 19. Matheuristics for the Temporal Bin Packing Problem
by Fabio Furini and Xueying Shen
Chapter 20. A fast reoptimization approach for the dynamic technician routing and scheduling problem
by V. Pillac, C. Guéret and A.L. Medaglia
Chapter 21. Optimized air routes connections for real hub schedule using SMPSO Algorithm
by H. Rahil, B. Abou El Majd and M. Bouchoum
Chapter 22. Solving the P/Prec, pj; Ci j/Cmax using an evolutionary algorithm
by Dalila Tayachi
Chapter 23. A User Experiment on Interactive Reoptimization Using Iterated Local Search
by David Meignan
Chapter 24. Surrogate-Assisted Multiobjective Evolutionary Algorithm for Fuzzy Job Shop Problems
by Juan Jose Palacios, Jorge Puente, Camino R. Vela, Inès Gonzalez-Rodriguez and El-Ghazali Talbi
Chapter 25. Towards a novel reidentification method using metaheuristics
by Tarik Ljouad, Aouatif Amine, Ayoub Al-Hamadi and Mohammed Rziza
Chapter 26. Facing the feature selection problem with a binary PSO-GSA approach
by Malek Sarhani, Abdellatif El Afia and Rdouan Faizi
Chapter 27. An Optimal Deployment of Readers for RFID Network Planning using NSGA-II
by Abdelkader Raghib, Badr Abou El Majd, and Brahim Aghezzaf
Chapter 28. An Enhanced Bat Echolocation Approach for Security Audit Trails Analysis Using Manhattan Distance
by Guendouzi Wassila and Boukra.

Recent developments in metaheuristics /

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