Bioinspired Heuristics for Optimization

1. Front Matter

   Pages i-viii

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2. Possibilistic Framework for Multi-objective Optimization Under Uncertainty

   • Oumayma Bahri, Nahla Benamor, El-Ghazali Talbi

   Pages 1-26

3. Solving the Uncapacitated Single Allocation p-Hub Median Problem on GPU

   • A. Benaini, A. Berrajaa, J. Boukachour, M. Oudani

   Pages 27-42

4. Phase Equilibrium Description of a Supercritical Extraction System Using Metaheuristic Optimization Algorithms

   • Ivan Amaya, Cristian Jiménez, Rodrigo Correa

   Pages 43-60

5. Intrusion Detection System Based on a Behavioral Approach

   • Mehdi Moukhafi, Seddik Bri, Khalid El Yassini

   Pages 61-75

6. A New Hybrid Method to Solve the Multi-objective Optimization Problem for a Composite Hat-Stiffened Panel

   • Ahmad El Samrout, Oussama Braydi, Rafic Younes, Francois Trouchu, Pascal Lafon

   Pages 77-88

7. Storage Yard Management: Modelling and Solving

   • Gustavo Campos Menezes, Geraldo Robson Mateus, Martín Gómez Ravetti

   Pages 89-108

8. Multi-capacitated Location Problem: A New Resolution Method Combining Exact and Heuristic Approaches Based on Set Partitioning

   • Mohammed El Amrani, Youssef Benadada, Bernard Gendron

   Pages 109-121

9. Application of Genetic Algorithm for Solving Bilevel Linear Programming Problems

   • M. Ait Laamim, A. Makrizi, E. H. Essoufi

   Pages 123-136

10. Adapted Bin-Packing Algorithm for the Yard Optimization Problem

    • Chafik Razouk, Youssef Benadada, Jaouad Boukachour

    Pages 137-152

11. Hidden Markov Model Classifier for the Adaptive ACS-TSP Pheromone Parameters

    • Safae Bouzbita, Abdellatif El Afia, Rdouan Faizi

    Pages 153-169

12. CHN and Min-Conflict Heuristic to Solve Scheduling Meeting Problems

    • Adil Bouhouch, Chakir Loqman, Abderrahim El Qadi

    Pages 171-184

13. A Probabilistic Finite State Machine Design of Particle Swarm Optimization

    • Abdellatif El Afia, Malek Sarhani, Oussama Aoun

    Pages 185-201

14. Algorithm Selector and Prescheduler in the ICON Challenge

    • François Gonard, Marc Schoenauer, Michèle Sebag

    Pages 203-219

15. A Metaheuristic Approach to Compute Pure Nash Equilibria

    • Niels Elgers, Nguyen Dang, Patrick De Causmaecker

    Pages 221-233

16. Hybrid Genetic Algorithms to Solve the Multidimensional Knapsack Problem

    • Abdellah Rezoug, Mohamed Bader-El-Den, Dalila Boughaci

    Pages 235-250

17. Solving the Home Health Care Problem with Temporal Precedence and Synchronization

    • Sophie Lasfargeas, Caroline Gagné, Aymen Sioud

    Pages 251-267

18. Automatically Generating Assessment Tests Within Higher Education Context Thanks to Genetic Approach

    • R. Ciguené, C. Joiron, G. Dequen

    Pages 269-282

19. Ant Colony Optimization for Optimal Low-Pass Filter Sizing

    • Loubna Kritele, Bachir Benhala, Izeddine Zorkani

    Pages 283-299

20. Maximum a Posteriori Based Evolutionary Algorithm

    • Asmaa Ghoumari, Amir Nakib, Patrick Siarry

    Pages 301-314

This book presents recent research on bioinspired heuristics for optimization. Learning- based and black-box optimization exhibit some properties of intrinsic parallelization, and can be used for various optimizations problems. Featuring the most relevant work presented at the 6th International Conference on Metaheuristics and Nature Inspired Computing, held at Marrakech (Morocco) from 27th to 31st October 2016, the book presents solutions, methods, algorithms, case studies, and software. It is a valuable resource for research academics and industrial practitioners.

• Bioinspired Heuristics
• Heuristics
• Optimization
• Computational Intelligence
• Metaheuristics

• Parc Scientifique de la Haute Borne, INRIA Lille Nord Europe, Villeneuve-d’Ascq, France

  El-Ghazali Talbi

• Université Paris Est Laboratoire Images, Signaux et Systèmes Intelligents (LISSI), Vitry-sur-Seine, France

  Amir Nakib

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