Swarm Intelligence Based Optimization

1. Front Matter

   Pages I-X

   PDF

2. Combining PSO and FCM for Dynamic Fuzzy Clustering Problems

   • Yucheng Kao, Ming-Hsien Chen, Kai-Ming Hsieh

   Pages 1-8

3. Metaheuristics for Solving a Hybrid Flexible Flowshop Problem with Sequence-Dependent Setup Times

   • Aymen Sioud, Caroline Gagné, Marc Gravel

   Pages 9-25

4. Using Particle Swarm Optimization Method to Invert Active Surface Waves

   • Rashed Poormirzaee, Rasoul Hamidzadeh Moghadam

   Pages 26-34

5. A Fuzzy-Controlled Comprehensive Learning Particle Swarm Optimizer

   • Mahamed G. H. Omran, Maurice Clerc, Ayed Salman, Salah Alsharhan

   Pages 35-41

6. Fuzzy Logic Control Optimized by Artificial Immune System for Building Thermal Condition

   • Jiawei Zhu, Fabrice Lauri, Abderrafiaa Koukam, Vincent Hilaire

   Pages 42-49

7. Smooth Trajectory Planning for Robot Using Particle Swarm Optimization

   • Riad Menasri, Hamouche Oulhadj, Boubaker Daachi, Amir Nakib, Patrick Siarry

   Pages 50-59

8. Multi-level Parallelization for Hybrid ACO

   • Omar Abdelkafi, Julien Lepagnot, Lhassane Idoumghar

   Pages 60-67

9. Parallel and Distributed Implementation Models for Bio-inspired Optimization Algorithms

   • Hongjian Wang, Jean-Charles Créput

   Pages 68-79

10. Using Bio-inspired Algorithm to Compensate Web Page Color Contrast for Dichromat Users

    • Alina Mereuta, Sébastien Aupetit, Nicolas Monmarché, Mohamed Slimane

    Pages 80-88

11. Comparison of Two Swarm Intelligence Optimization Algorithms on the Textual Color Problem for Web Accessibility

    • Sébastien Aupetit, Nicolas Monmarché, Mohamed Slimane

    Pages 89-97

12. How Much Forcing Is Necessary to Let the Results of Particle Swarms Converge?

    • Bernd Bassimir, Manuel Schmitt, Rolf Wanka

    Pages 98-105

13. The Use of Ontology in Semantic Analysis of the Published Learners Messages for Adaptability

    • Samia Ait Adda, Amar Balla

    Pages 106-114

14. A Hybrid PSO Applied to the Flexible Job Shop with Transport

    • Laurent Deroussi

    Pages 115-122

15. Multiple Mobile Target Tracking in Wireless Sensor Networks

    • Charly Lersteau, Marc Sevaux, André Rossi

    Pages 123-130

16. Swarm Projects: Beyond the Metaphor

    • Pierre Parrend, Pierre Masai, Cecilia Zanni-Merk, Pierre Collet

    Pages 131-138

17. An Enhanced Particle Swarm Optimisation Algorithm Combined with Neural Networks to Decrease Computational Time

    • Cédric Leboucher, Patrick Siarry, Stéphane Le Ménec, Hyo-Sang Shin, Rachid Chelouah, Antonios Tsourdos

    Pages 139-156

18. Robust Multi-agent Patrolling Strategies Using Reinforcement Learning

    • Fabrice Lauri, Abderrafiaa Koukam

    Pages 157-165

19. BSG-Starcraft Radius Improvements of Particle Swarm Optimization Algorithm: An Application to Ceramic Matrix Composites

    • Dominique Chamoret, Sébastien Salmon, Noelie Di Cesare, Yingjie J. Xu

    Pages 166-174

20. An Efficient ACO-SA Hybrid Metaheuristic for the Synchronization of Single Frequency Networks in Broadcasting

    • Akram Bedoui, Philippe Debreux, Thierry Schott

    Pages 175-184

This book constitutes the thoroughly refereed post-conference proceedings of the 1st International Conference on Swarm Intelligence Based Optimization, ICSIBO 2014, held in Mulhouse, France, in May 2014. The 20 full papers presented were carefully reviewed and selected from 48 submissions. Topics of interest presented and discussed in the conference focuses on the theoretical progress of swarm intelligence metaheuristics and their applications in areas such as: theoretical advances of swarm intelligence metaheuristics, combinatorial, discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large-scale optimization, artificial immune systems, particle swarms, ant colony, bacterial foraging, artificial bees, fireflies algorithm, hybridization of algorithms, parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles, adaptation and applications of swarm intelligence principles to real world problems in various domains.

• ant colony optimization
• artificial immune system
• bee foraging
• bio-inspired
• clustering
• combinatorial optimization
• continuous optimization
• discrete optimization
• flowshop scheduling
• hybrid algorithms
• machine learning
• metaheuristics
• mixed discrete-continuous optimization
• operations research
• optimization algorithms
• parallel algorithms
• particle swarm optimization
• swarm intelligence
• wireless sensor networks
• algorithm analysis and problem complexity

• Univ Paris-Est Créteil UPEC LISSI, Vitry Sur Seine, France

  Patrick Siarry

• Université de Haute Alsace LMIA-INRIA Grand Est, Mulhouse, France

  Lhassane Idoumghar

• Université de Haute-Alsace, LMIA, Mulhouse, France

  Julien Lepagnot

Policies and ethics