. .. Bibliographie,

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. Fonctions and . .. Mathematiques,

A. ,

, A.2.8 Fonction d'Ackley

, Figure A-15 Fonction d'Ackley en 2 dimensions

, Figure A-19 Fonction de Three-Hump Camel en 2 dimensions

Y. Cooren, Perfectionnement d'un algorithme adaptatif d'Optimisation par Essaim Particulaire. Applications en génie médical et en électronique, 2008.
URL : https://hal.archives-ouvertes.fr/tel-02069238

N. Elhami, Contribution aux méthodes hybrides d'optimisation heuristiques: Distribution et application à l'interopérabilité des systèmes d'information, 2013.

K. Byung-i and G. Alan, Parallel asynchronous particle swarm optimization, International Journal For Numerical Methods In Engineering, vol.67, pp.578-595, 2006.

S. Jin, D. Dechev, and Z. Qu, Parallel Particle Swarm Optimization (PPSO) on the Coverage Problem in Pursuit-Evasion Games". Conference: Proposed for presentation at the 20th High Performance Computing Symposium (HPC 2012), 2012.

P. Rabanal, I. Rodríguez, and F. Rubio, Parallelizing Particle Swarm Optimization in a Functional Programming Environment, vol.7, pp.554-581, 2014.

A. T. Arionde-campo, P. Pozo-elias, and . Duarte, Parallel multi-swarm PSO strategies for solving many objective optimization problems, Journal of Parallel and Distributed Computing, vol.126, pp.13-33, 2019.

J. Mickeal and . Flynn, Some Computer Organizations and Their Effectiveness, IEEE Trans. Comput, p.948, 1972.

, Laurence Viry et Violaine Louvet Ecole d'Automne "Genéralités sur le parallélisme

, Ecole d'Automne 'Informatique Scientifique pour le Calcul, 2008.

. Gene-amdahl, Validity of the Single Processor Approach to Achieving Large-Scale Computing Capabilities, AFIPS Conference Proceedings, pp.483-485, 1967.

L. John, . Gustafson, H. Edwin, and . Barsis, Reevaluating Amdahl's Law, Communications of the ACM, pp.532-533, 1988.

A. H. Karp and H. P. Flatt, Measuring Parallel Processor Performance, Communications of the ACM, vol.33, issue.5, pp.539-543, 1990.

S. Lalwani, H. Sharma, C. Suresh, K. Satapathy, . Deep et al., A Survey on Parallel Particle Swarm Optimization Algorithms, Arabian Journal for Science and Engineering, 2019.

A. El-dor, Perfectionnement des algorithmes d'optimisation par essaim particulaire : applications en segmentation d'images et en électronique

J. Kennedy and R. Eberhart, Particle Swarm Optimization, Proceedings of the IEEE International Joint Conference on Neural Networks, vol.8, pp.1943-1948, 1995.

A. Ratnaweera, S. K. Halgamuge, and H. C. Watson, Self-organising hierarchical particle swarm optimizer with time-varying acceleration coefficients, IEEE Trans Evol Comput

I. Kuo, S. Horng, T. Kao, T. Lin, and P. Fan, An Efficient Flow-Shop Scheduling Algorithm Based on a Hybrid Particle Swarm Optimization Model, New Trends in Applied Artificial Intelligence, pp.303-312, 2007.

K. E. Parsopoulos and M. N. Vrahatis, Recent approaches to global optimization problems through particle swarm optimization, Natural Computing: an international journal, vol.1, issue.2-3, pp.235-306, 2002.

M. E. Hyass and P. Hyass, Good Parameters for Particle Swarm Optimization

C. Guillaume, Optimisation par essaim de particules, Spécialisation Sciences Cognitives et Informatique Avancée (SCIA) École d'Ingénieurs en Informatique EPITA

. France, , 2009.

M. Pant, R. Thangaraj, and A. Abraham, Particle swarm optimization using adaptive mutation, 19th International Conference on Database and Expert Systems, pp.519-523, 2008.

U. Q. Nguyen, N. X. Hoai, R. Mckay, and P. Tuan, Initializing PSO with randomized low-discrepancy sequences: the comparative results, Proceedings of the IEEE Congress on Evolutionary Computation, pp.1985-1992, 2007.

K. Zielinski and R. Laur, Stopping Criteria for Differential Evolution in Constrained Single-Objective Optimization, Advanced in Differential Evolution, the series Studies in Computational Intelligence, vol.143, pp.111-138, 2008.

H. X. Long, M. Z. Li, and H. Y. Fu, Parallel quantum-behaved particle swarm optimization algorithm with neighborhood search, International Conference on Oriental Thinking and Fuzzy Logic, pp.479-489, 2016.

M. Pant, R. Thangaraj, C. Grosan, and A. Abraham, Improved particle swarm optimization with low-discrepancy sequences, IEEE Cong. on Evolutionary

. Kong, , pp.3011-3018, 2008.

Y. Peng, A. Peng, X. Zhang, H. Zhou, L. Zhang et al., Multi-core parallel particle swarm optimization for the operation of inter-basin water transfer-supply systems, Water Resour. Manag, vol.31, issue.1, pp.27-41, 2017.

C. Zhang, Z. Ni, Z. Wu, and L. Gu, A novel swarm model with quasi-oppositional particle, International Forum on Information Technology and Applications, pp.325-330, 2009.

S. Yuan, L. Zhao, and B. Mu, Parallel cooperative co-evolution based particle swarm optimization algorithm for solving conditional nonlinear optimal perturbation, International Conference on Neural Information Processing, pp.87-95, 2015.

Y. Shi and R. C. Eberhart, Parameter selection in particle swarm optimization, Proceedings of the Seventh Annual Conference on Evolutionary Programming, pp.591-600, 1998.

M. Clerc and J. Kennedy, The particle swarm -explosion, stability, and convergence in a multidimensional complex space, IEEE Trans. Evolutionary Computation, vol.6, issue.1, pp.58-73, 2002.

C. Russ, Y. Eberhart, and . Shi, Comparing inertia weights and constriction factors in particle swarm optimization, Proceedings of the Congress on Evolutionary Computing, pp.84-89, 2000.

R. Eberhart, P. Simpson, and R. Dobbins, Computational Intelligence PC Tools". AP Professional, 1996.

K. Deep and J. C. Bansal, Hybridization of particle swarm optimization with quadratic approximation, vol.46, pp.3-24, 2009.

J. Barrera and C. A. Coello, Limiting the velocity in particle swarm optimization using a geometric series, Genetic And Evolutionary Computation Conference, Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pp.1739-1740, 2009.

X. Cai and Y. Tan, A study on the effect of vmax in particle swarm optimization with high dimension, International Journal of Bio-Inspired Computation (IJBIC), vol.1, issue.3, pp.210-216, 2009.

B. Bochnek and P. Fory's, Structural optimization for post buckling behavior using particle swarms, Struct Multidisc Optim, pp.521-531, 2006.

R. Mendes, Population Topologies and Their Influence in Particle Swarm Performance, 2004.

S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi, Optimization by Simulated Annealing

, New Series, vol.220, pp.671-680, 1983.

P. Siarry and G. Drryfus, Application of Physical Methods to the Computer-Aided Design of Electronic Circuits, J. Phys. Lett, vol.45, 1984.
URL : https://hal.archives-ouvertes.fr/jpa-00232306

V. Cerny, A thermodynamical approach to the travelling salesman problem: an efficient simulated algorithm, Journal of Optimization Theory and Applications, vol.45, pp.41-51, 1985.

A. Gherboudj, Méthodes de résolution de problèmes difficiles académiques, 2013.

N. Metropolis, A. Rosenbluth, M. Rosenbluth, A. Teller, and E. Teller, Equation of state calculations by fast computing machines, Journal of Chemical Physics, vol.21, pp.1087-1092, 1953.

A. Baptiste, Mémoire de fin d'études, Conservatoire National Des Arts et Métiers, 2006.

J. Chang, S. Chu, J. Roddick, and J. Pan, A Parallel Particle Swarm Optimization Algorithm With Communication Strategies, Journal of Information Science and Engineering, 2005.

G. Venter and J. Sobieszcanski, Parallel particle swarm optimization algorithm accelerated by asynchronous evaluations, J. Aerosp. Comput. Inf. Commun, vol.3, issue.3, pp.123-137, 2006.

-. Byung, A. D. Koh, R. George, . Haftka, J. Benjamin et al., Parallel asynchronous particle swarm optimization, Communications in Numerical Methods in Engineering, vol.67, issue.4, pp.578-595, 2006.

K. Byung-i and G. Alan, Parallel asynchronous particle swarm optimization, International Journal For Numerical Methods In Engineering, vol.67, pp.578-595, 2006.

A. W. Mcnabb,

C. K. Monson,

K. D. Seppi, Parallel PSO using MapReduce". IEEE Congress on Evolutionary Computation, 2007.

H. Prasain,

G. Kumar-jha-;-parimala-thulasiraman-;-ruppa and . Thulasiram, A parallel Particle swarm optimization algorithm for option pricing, IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum

N. Dali and S. Bouamama, GPU-PSO : Parallel Particle Swarm Optimization approaches on Graphical Processing Unit for Constraint Reasoning: Case of Max-CSPs, 19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, vol.60, pp.1070-1080, 2015.

M. Zemzami, N. Elhami, M. Itmi, and N. Hmina, Parallèlisation de la Méthode PSO: Découpage de l'espace et traitement par lot des particules, International Workshop on New Services and Networks (WNSN'16). Khouribga. Maroc, 2016.

M. Zemzami, N. Elhami, M. Itmi, and N. Hmina, A New Parallel Approach For The Exploitation Of The Search Space Based On PSO Algorithm". 4 th International Colloquium in Information Science and Technology (CIST'16), Tanger. Maroc, 2016.
URL : https://hal.archives-ouvertes.fr/hal-02130865

M. I. Aouad, Conception d'algorithmes hybrides pour l'optimisation de l'énergie mémoire dans les systèmes embarqués et de fonctions multimodales, 2011.

M. Zemzami, A. Makhloufi, N. Elhami, M. Itmi, and N. Hmina, Electrical Power Transmission Optimization based on a New Version of PSO Algorithm

M. Zemzami, N. Elhami, M. Itmi, and N. Hmina, A modified Particle Swarm Optimization algorithm linking dynamic neighborhood topology to parallel computation, International Journal of Engineering and Technology (IJATCSE), vol.8, pp.2-112, 2019.

. Ansys-guide, ANSYS Structural Analysis Guide, 2015.

M. Zemzami, A. Elhami, A. Makhloufi, N. Elhami, M. Itmi et al., Applying a new parallelized version of PSO algorithm for electrical power transmission, International Conference on Materials Engineering and Nanotechnology (ICMEN'17, pp.12-14, 2017.
URL : https://hal.archives-ouvertes.fr/hal-02130878

K. Lumpur and . Malysia, IOP Conference Series: Materials Science and Engineering, pp.1757-8981, 2017.

, Standard Computer Dictionary -A Compilation of IEEE Standard Computer Glossaries, 1990.

B. Elmir and B. Et-bounabat, E-Service Interoperability Measurement within Business Collaboration Networks, Proceedings of MICS, 2010.

N. Daclin, D. Chen, and B. Vallespir, Enterprise interoperability measurement-Basic concepts, EMOI-INTEROP, 2006.

M. Kasunic and W. Anderson, Measuring Systems Interoperability: Challenges and Opportunities, 2004.

M. Zemzami, N. Elhami, M. Itmi, and N. Hmina, Interoperability optimization using a modified PSO algorithm, International Journal of Engineering and Technology (IJATCSE), vol.8, pp.2-101, 2019.

M. Zemzami, N. Elhami, M. Itmi, and N. Hmina, An evolutionary hybrid algorithm for complex optimization problems, International Journal of Engineering and Technology (IJATCSE), vol.8, issue.2, pp.126-133, 2019.

R. Ahmad, . Lee, . Yung-chuan, . Rahimi, . Shahram et al., A Multi-Agent Based Approach for Particle Swarm Optimization, IEEE International Conference on Integration of Knowledge Intensive Multi-Agent Systems, pp.267-271, 2007.

K. Miguel, Une approche de gestion de la maintenance de parcs eoliens centrée sur les systèmes multiagents

F. Rouen, , 2018.

. Mazhar,