. Alvarez-benitez, A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts, pp.459-473, 2005.
DOI : 10.1007/978-3-540-31880-4_32

. Andreani, Noise optimization of an inductively degenerated CMOS low noise amplifier, IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, vol.48, issue.9, pp.835-841, 2001.
DOI : 10.1109/82.964996

. P. Angeline and . Angeline, Evolutionary optimization versus particle swarm optimization: Philosophy and performance differences, Proceedings of the 7th Annual Conference on Evolutionary Programming, pp.601-610, 1998.
DOI : 10.1007/BFb0040811

. Bartz-beielstein, Particle swarm optimizers for Pareto optimization with enhanced archiving techniques, The 2003 Congress on Evolutionary Computation, 2003. CEC '03., pp.1780-1787, 2003.
DOI : 10.1109/CEC.2003.1299888

. Boughariou, Design and optimization of LNAs through the scattering parameters, Melecon 2010, 2010 15th IEEE Mediterranean Electrotechnical Conference, 2010.
DOI : 10.1109/MELCON.2010.5475973

. Cabrera, Micro-MOPSO: A Multi-Objective Particle Swarm Optimizer That Uses a Very Small Population Size, Multi- Objective Swarm Intelligent Systems. Theory & Experiences, pp.83-104, 2010.
DOI : 10.1007/978-3-642-05165-4_4

. Chelouah, Tabu Search applied to global optimization, European Journal of Operational Research, vol.123, issue.2, pp.256-270, 2000.
DOI : 10.1016/S0377-2217(99)00255-6

. Clerc, The particle swarm - explosion, stability, and convergence in a multidimensional complex space, IEEE Transactions on Evolutionary Computation, vol.6, issue.1, pp.58-73, 2002.
DOI : 10.1109/4235.985692

. C. Coello and . Coello, A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques, Knowledge and Information Systems, vol.265, issue.2, pp.269-308, 1999.
DOI : 10.1007/BF03325101

. Coello, MOPSO: a proposal for multiple objective particle swarm optimization, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), pp.1051-1056, 2002.
DOI : 10.1109/CEC.2002.1004388

. Coello, MOPSO: A proposal for multiobjective particle swarm optimization, Congress on Evolutionary Computation, pp.1051-1056, 2002.

. Coello, Handling multiple objectives with particle swarm optimization, IEEE Transactions on Evolutionary Computation, vol.8, issue.3, pp.256-279, 2004.
DOI : 10.1109/TEVC.2004.826067

. Ehrgott, A survey and annotated bibliography of multiobjective combinatorial optimization, OR Spectrum, vol.22, issue.4, pp.425-460, 2000.
DOI : 10.1007/s002910000046

URL : https://hal.archives-ouvertes.fr/hal-00462047

. Fakhfakh, Live demonstration: CASCADES. 1: A flow-graph-based symbolic analyzer, Proceedings of 2010 IEEE International Symposium on Circuits and Systems, p.2782, 2010.
DOI : 10.1109/ISCAS.2010.5537003

. Fonseca, Genetic Algorithm for Multiobjective Optimization: Formulation, Discussion, Generalization, Proceedings of the Fifth International Conference on Genetic Algorithms, pp.416-423, 1993.

. M. Fourman and . Fourman, Compaction of Symbolic Layout Using Genetic Algorithms, Genetic Algorithms and their Applications. Proceedings of the First International Conference on Genetic Algorithm, pp.141-153, 1985.

. Glover, Tabu search, 1997.
URL : https://hal.archives-ouvertes.fr/hal-01412610

. D. Goldberg and . Goldberg, Genetic algorithms for search, optimization, and machine learning, 1989.

&. S. Preuss and . Huband, Problem Definitions for Performance Assessment & Competition on Multi-objective Optimization Algorithms, 2007.

. Huband, A review of multiobjective test problems and a scalable test problem toolkit, IEEE Transactions on Evolutionary Computation, vol.10, issue.5, pp.477-506, 2006.
DOI : 10.1109/TEVC.2005.861417

. Hu, Multiobjective optimization using dynamic neighborhood particle swarm optimization, Congress on Evolutionary Computation, pp.1677-1681, 2002.

. Hu, Particle swarm with Extended Memory for multiobjective Optimization, IEEE Swarm Intelligence Symposium, pp.193-197, 2003.

. Kennedy, Particle Swarm Optimisation, Proceedings of the IEEE International Conference on Neural Networks, pp.1942-1948, 1995.

. J. Kennedy and . Kennedy, The particle swarm: social adaptation of knowledge, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97), pp.303-308, 1997.
DOI : 10.1109/ICEC.1997.592326

. J. Kennedy and . Kennedy, Bare bones particle swarms, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706), pp.80-87, 2003.
DOI : 10.1109/SIS.2003.1202251

. Kirkpatrick, Optimization by Simulated Annealing, Science, vol.83, issue.220, pp.671-680, 1983.

. Knowles, Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy, Evolutionary Computation, vol.8, issue.2, pp.149-172, 2000.
DOI : 10.1109/4235.797969

. Knowles, A tutorial on the Performance Assessement of Stochastic Multi-objective Optimizers, 2006.

X. Li, A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization, Proceedings of the Genetic and Evolutionary Computation Conference, pp.117-128, 2004.
DOI : 10.1007/3-540-45105-6_4

. Li, Particle swarm optimization, Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation , GECCO '07, 2007.
DOI : 10.1145/1274000.1274118

URL : https://hal.archives-ouvertes.fr/hal-01504869

. Moore, Application of particle swarm to multiobjective optimization, 1999.

. Mostaghim, Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO), Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706), pp.26-33, 2003.
DOI : 10.1109/SIS.2003.1202243

. Niu, MCPSO: A multi-swarm cooperative particle swarm optimizer, Applied Mathematics and Computation, vol.185, issue.2, pp.1050-1062, 2005.
DOI : 10.1016/j.amc.2006.07.026

. Okabe, On Test Functions for Evolutionary Multi-objective Optimization, Parallel Problem Solving from Nature (PPSN VIII), pp.792-802, 20004.
DOI : 10.1007/978-3-540-30217-9_80

. Ozcan, Analysis of a simple particle swarm optimization system, intelligent Engineering Systems Through Artificial Neural Networks, pp.253-258, 1998.

. Parsopoulos, Particle swarm optimization method in multiobjective problems, Proceedings of the 2002 ACM symposium on Applied computing , SAC '02, pp.603-607, 2002.
DOI : 10.1145/508791.508907

. Parsopoulos, Multiobjective optimization using parallel vector evaluated particle swarm optimization, Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, pp.823-828, 2004.

. Pulido, Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer, Proceedings of the Genetic and Evolutionary Computation Conference, pp.225-237, 2004.
DOI : 10.1007/978-3-540-24854-5_20

. G. Pulido and . Pulido, On the Use of Self-Adaptation and Elitism for Multiobjective Particle Swarm Optimization, 2005.

. Quintero, Towards a More efficent Multiobjective Particle Swarm Optimizer Multiobjective Optimization in computational intelligence: Theory and practice, Information Science Reference, pp.76-105, 2008.

. Ray, A swarm metaphor for multiobjective design optimization. Engineering Optimization, pp.142-153, 2002.

. J. Schaffer and . Schaffer, Some Experiments in Machine Learning using Vector Evaluated Genetic Algorithms, 1984.

. E. Seevinck and . Seevinck, CMOS translinear circuits for minimum supply voltage, IEEE Transactions on Circuits and Systems-II : Analog and Digital Signal Processing, pp.12-1560, 2000.
DOI : 10.1109/82.899656

. Serra, Method for global optimization, Physical Review, vol.97, issue.55, pp.1162-1165, 1997.

. Shi, Parameter selection in particle swarm optimization, Proceedings of the 7th Annual Conference on Evolutionary Programming, pp.591-600, 1998.
DOI : 10.1007/BFb0040810

. Siarry, FITTING OF TABU SEARCH TO OPTIMIZE FUNCTIONS OF CONTINUOUS VARIABLES, International Journal for Numerical Methods in Engineering, vol.18, issue.13, pp.2449-2457, 1997.
DOI : 10.1002/(SICI)1097-0207(19970715)40:13<2449::AID-NME172>3.0.CO;2-O

. Sierra, Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and ???-Dominance, third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005, pp.505-519, 2005.
DOI : 10.1007/978-3-540-31880-4_35

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.8066

. Sierra, Multiobjective Particle Swarm Optimizers: A survey of the State-Of-the-Art, International Journal of Computational Intelligence Research Computer Graphics, vol.21, pp.4-25, 1987.

. Sierra, A study of techniques to improve the efficiency of a multi-objective particle swarm optimizer, Evolutionary Computation in Dynamic and Uncertain Environments, pp.269-296, 2007.

. Smairi, New Proposal For a Multi-objective Technique Using TRIBES and Tabu Search, Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics, pp.86-91, 2010.

. Srivinas, Multiobjective Function Optimization Using Nondominated Sorting Genetic Algorithms, Evol. Comput, vol.2, pp.221-248, 1995.

. Zitzler, A Tutorial on Evolutionary Multiobjective Optimization, 2007.
DOI : 10.1007/978-3-642-17144-4_1

. Zitzler, Multiobjective optimization using evolutionary algorithms ??? A comparative case study, Conference on Parallel Problem Solving from Nature (PPSN V), pp.292-301, 1998.
DOI : 10.1007/BFb0056872

. Zielinski, Adaptive parameter setting for a multi-objective particle swarm optimization algorithm, 2007 IEEE Congress on Evolutionary Computation, pp.3019-3026, 2007.
DOI : 10.1109/CEC.2007.4424856