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Bioinspired Heuristics for Optimization

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  • © 2019

Overview

Editors:
  1. El-Ghazali Talbi

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

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  2. Amir Nakib

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

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  • Presents recent research on bioinspired heuristics
  • Provides a comprehensive background to bioinspired heuristics for optimization
  • Highlights state-of-the-art developments in bioinspired heuristics research

Part of the book series: Studies in Computational Intelligence (SCI, volume 774)

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Table of contents (19 chapters)

  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
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Keywords

About this book

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.

Editors and Affiliations

  • 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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