Recent Developments in Metaheuristics

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.

Lionel Amodeo obtained his Engineering Degree in Mechanical Engineering from the National Engineer School of Belfort (France) in 1993, and the same year, his master's degree in Automatic and Production Management from the University of Franche Comté (France). In 1999, he received his Ph.D. degree in Automatic and Computer Sciences from the University of Franche Comté (France). Then he became an Associated Professor at the University of Technology of Troyes (UTT) in 2000. Since 2010, he is a full Professor at UTT, where he is the head of the Engineer Degree in Industrial Systems with more than 400 students. His research interests include logistic and production systems optimization, scheduling, system design, facility layout and inventory problems.
He has published more than 260 contributions including 4 books, 11 book chapters, 38 papers in international journals and over 190 communications in conference proceedings. He is member of Editorial Board of journals: International Journal of Engineering Mathematics, Hindawi Publishing Corporation, Journal of Modelling and Simulation of Systems, Journal of Studies on Manufacturing.
He is also member of several international conference committees (about 25 conferences) (MIC'2017, MIM 2016, INCOM2015, IESM 2015), member of more than 15 organization committees of conferences. He organized and or Chair more than 30 tracks or sessions in conferences. He is reviewer for more than 18 international journals. He supervises or supervised 16 Ph.D thesis and 32 Master of Sc. Student. He is expert for French Research Agency (ANR), and for different agencies such as French AERES Agency, Natural Sciences and Technology Research Fund (FRQNT, Canada), and Austrian Research Fund (FWF). He is member of the Technical Committee IFAC T.7.4 Transportation Systems.
El-ghazali Talbi received the Master and Ph.D degrees in Computer Science, both from the Institut NationalPolytechnique de Grenoble in France. Then he became an

"The chapters in the book contain adequate references to the literature for further study. The index is also quite helpful. The book sheds light on recent developments in the field of metaheuristics with emphases on algorithms, applications, thought-provoking questions, theory, and implementation aspects. ... I recommend this book for the aforementioned categories of readers." (Computing Reviews, April, 2018)