MARCO FARINA, PhD

Curriculum vitae            Research activity            Academic research partners

Useful links            Bibliography

Other Professional Activities

•            Member of Scientific Committee of the European School of Advanced Studies in Methods for management of Complex Systems, University of Pavia, http://www.unipv.it/complexity/.

•            Editor of Special issue of SoftComputing Journal, Springer on SoftCom­puting techniques for Multiobjective Optimization, 2004

•            Programme committee Member for international conferences:

GECCO03 International conference on Genetic and Evolutionary    computation, July, 12-16, 2003 Chicago, Illinois

European Workshop on Evolutionary Algorithms in Stochastic and Dy­namic Environments EvoSTOC04, April5-7, Coimbra, Portugal

•            International Journals Referee: IEEE Transactions on Evolutionary Computation

•            Thesis Supervision Laurea degree (BSc+MSc) in Physics: Stochastic Processes and Neural Networks for Complex Systems Modelling: the Econo­physics case

Laurea degree (BSc+MSc) in Mechanical Engineering: Fuzzy optimal­ity based Multiobjective design of suspension system for a sportive car.

Invited Seminars

•            “From Pareto-optimality to fuzzy-optimality in many-criteria optimization Problems”, Berkeley Initiative in Soft computing, University of  Berkeley, USA, May22 2002.

•            “NN based GRS methods for Pareto Optimal front identification”, Department of Computer Science, University of  Jyvaskyla, FI, April15, 2002 http://erin.mit.jyu.fi/pako/CMCM/seminaari/seminaari.html.

•            “Multiobjective Optimization and Fuzzy logic ”The Logic of Soft-computing, Gargnano, IT, November, 19-24 2001.

•            “Evolutionary Computation: introduction and application ”INFN, University of Pavia, IT, November, 28 2001.

•            “Soft Computing techniques for Pareto Multiobjective Optimization” and “Introduction to Genetic Algorithms”, Department of Computer Science, University of Milan, Italy, June 6th, and July 9th, 2001.

Education

•            Nov. 1998 -Nov. 2001 :Ph.D. in Electrical Engineering with honors , Department of Electrical Engineering, University of Pavia, Italy. Final thesis: Cost-effective Evolutionary Strategies for Pareto Optimal Front Approximation in Multiobjective Shape Design Optimization of Electromagnetic Devices.

•            Mar. 1999 -Nov. 2001 : Post-graduate school ”Advanced School for Integrated Education”- University Institute for Post-graduate Studies, Pavia­ Italy.

•            July 1998 : Summer School on Parallel Computing, CINECA – Bologna ­Italy.

•            Oct 1992 -Feb 1998 :Laurea Degree (BSc+MSc) in Electrical Engineering with honors, Department of Electrical Engineering, University of Pavia, Italy. Final Thesis: Numerical solution of eigenvalue differential problems in electromagnetics. Work performed during a stage at CNR Istituto di Analisi Numerica, Pavia, Italy.

•            Sep 1987 -Jul 1992 : Diploma in classical studies Liceo Classico “UgoFoscolo”, Pavia, Italy - mark 56/60
 

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Research activity

In 1997 for the preparation of my Laurea (BSc+MSc) degree final thesis, I developed a study on various finite elements (FEM) for the numerical solution of eigenvalue differential problems in electromagnetic. Both theoretical and numerical aspects have been considered and results are summarized in [12].   

After that, in 1998, for the first part of my PhD work, I moved my interests from analysis problems to synthesis problems, considering FEM numerical solution as a tool for computing the objective function in optimal shape design of electromagnetic devices. Evolutionary computation was considered for optimization engine development. Significant results are described in [2, 11, 10, 4, 5].

In 1999 I considered evolutionary multiobjective optimization for multiobjective treating of design problems in low-frequency electromagnetic devices; results are summarized in [3,6,8,7]and [24, 33,9,13, 32,23].

In 1999/2000, during my visiting period in Southampton, I moved my attention to new practical optimization methodologies, developing linked interpolation-optimization strategies for very time consuming design problems, based on Neural Networks and Evolutionary computa­tion. This work was performed in collaboration with Imperial College, London and results are summarized in [18, 31].

In 2001 I joined STMicroelectronics in the SST (Soft Computing Silicon-Optics & Post-Silicon Technologies) corporate R&D where I imported evolutionary multiobjective optimization methodology as a general purpose tool for several different optimization problems such as suspension system optimal control and engine controller optimization. [34, 22, 19, 20]and [21, 25, 29, 17, 30, 1]. Innovative methodologies have been developed in the area of fuzzy and Dynamic multiobjective optimization [27, 21] and [26].

The effort lead to a 14 people research group on Applied Computational Intelligence (ACI) which is currently working under my responsibility in collaboration with academic and industrial partners in Italy and abroad. Moreover, recently, a small joint research office under my re­sponsibility has been opened by STMicroelectronics inside the Depart­ment of Nuclear Physics in University of Pavia for fostering research cooperation between STMicroelectronics SST R&D and academic re­searchers. PhD students and academic staff members are working as consultants on two different projects: Computational Intelligence for Econophysics [15, 16] and Beowulf-based distributed computing.


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Academic research partners


Electromagnetic Devices CAD Laboratory
Department of Electrical Engineering
University of Pavia
Italy
http://www.unipv.it/electric/cad

High Energy Physics and Complex Systems Group
Department of Nuclear and Theoretical Physics
University of Pavia and INFN
Italy
http://www.pv.infn.it/~nicrosi/group/default.htm

Optimization Group
Department of Mathematical Information Technology
University of Jyväskylä,
Finland 
http://www.mit.jyu.fi/optgroup/

Kanpur Genetic Algorithms Laboratory (KanGAL)
Indian Institute of Technology, Kanpur
India
http://www.iitk.ac.in/kangal/index.html


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Some Useful links on Multiobjective
Optimization and MCDM

http://www.iitk.ac.in/kangal/index.html

http://www.iitk.ac.in/kangal/deb.htm

http://www.mit.jyu.fi/optgroup/

http://www.mit.jyu.fi/~miettine/engl.html

http://www.mit.jyu.fi/~miettine/lista.html

http://nimbus.mit.jyu.fi/

http://delta.cs.cinvestav.mx/~ccoello

http://www.lania.mx/~ccoello/EMOO/

http://www.ccas.ru/mmes/mmeda/

http://www.tik.ee.ethz.ch/~zitzler/

http://www.ici.ro/camo/mobj.htm

http://www.mathworks.com/access/helpdesk/help/toolbox/optim/tutor20b.shtml

http://www.glue.umd.edu/~azarm/optimum_notes/multi/multi.html

http://www.terry.uga.edu/mcdm/

http://www.terry.uga.edu/mcdm/mclinks.html
 

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Bibliography

[1] P.    Amato and M.Farina. An alife-inspired evolutionary algorithm for dynamic multiobjective optimization problems. In 8th on-line World Conference on Soft Computing in Industrial Applications WSC8, http://wsc8.e-technik.uni-dortmund.de.CP.

[2] F. Arpino, P. Di Barba, A. Savini, and M.Farina. Multiobjective shape optimization of a brushless dc motor by a low-cost evolutionary strategy. In IEEE Conference on Electromagnetic Field Computation CEFC02. IEEE Service Center, September 2002. CP.
 

[3] P. Di Barba, M.Farina, U. Piovan, and A. Savini. Field simulation of forces on windings in a transformer for arc furnace. COMPEL International Journal for computation and mathematics in Electrical and Electronic Engineering, 19(2):381–387, 2000. SCP.

[4] P. Di Barba, M.Farina, and A. Savini. Multicriteria Strategy for the optimization of Air-cored solenoid Systems,volume 18 of Studies in Applied Electromagnetics and Mechanics, pages 475–478. IOS press, 1999. CP.

[5] P. Di Barba, M.Farina, and A. Savini. Progress in automated design of small and micro-electromechanical devices.,volume 18 of Studies in Applied Electromagnetics and Mechanics, pages 571–574. IOS press, 1999. CP.

[6] P. Di Barba, M.Farina, and A. Savini. Vector shape optimisation of an electrostatic micromotor using a genetic algorithm. COMPEL International Journal for computation and mathematics in Electrical and Electronic Engineering, 19(2):576–581, 2000. SCP.

[7] P. Di Barba, M.Farina, and A. Savini. An improved technique for en­hancing diversity in pareto evolutionary optimization of electromagnetic devices. COMPEL International Journal for computation and mathematics in Electrical and Electronic Engineering, 20(2):482–496, 2001. SCP.

[8] P. Di Barba, M.Farina, and A. Savini. Multiobjective Design Optimization of Real-Life Devices in Electrical Engineering: A Cost-Effective Evolutionary Approach. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, volume 1993 of Lecture Notes in Computer Science, pages 560–573. Springer-Verlag, 2001. CP.

[9] P. Di Barba and M.Farina. Multiobjective shape optimisation of air cored solenoids. COMPEL International Journal for computation and mathematics in Electrical and Electronic Engineering, 21(1):45–57, 2002. JP.

[10] M. Battistetti, P. Di Barba, F. Dughiero, M.Farina, S. Lupi, and A. Savini. Multiobjective design optimisation of an inductor for surface heating: an innovative approach. In Proceedings of the IEEE CEFC2000 conference, Milwaukee, USA. IEEE, July 2000. CP.

[11] M. Battistetti, F. Colaone, P. Di Barba, F. Dughiero, M.Farina, S. Lupi, and A. Savini. Optimal design of an inductor for transverse flux heating using a combined evolutionary-simplex method. COMPEL International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 20(2):507–522, 2001. SCP.

[12] D .Boffi, M.Farina, and L. Gastaldi. On the approximation of maxwell’s eigenproblem in general 2d domains. Computer and Structures, 79:1089– 1096, 2001. JP.

[13] A. Bramanti, P. Di Barba, M.Farina, and A. Savini. Combining Response Surfaces and Evolutionary Strategies for Multiobjective Pareto Optimization in Electromagnetics,volume 11 of International Journal of Applied Electromagnetics and Mechanics, pages 1–6 JAE434. IOS press, 2000. CP.

[14] N. Cesario, M.Farina, E. Kovalevy, and M. Markin. Multiobjective opti­mization for automotive application. In G. Bugeda, J.A. Desideri, J. Pe­riaux, M. Schoenauer, and G. Winter, editors, International Congress on Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems EUROGEN03, Barcelona 14-17 Septem­ber 2003. CP.

[15] G. Montagna, M. Morelli, O. Nicrosini, M.Farina, and P.Amato. Pricing derivatives by path integral and neural networks. Physica A, 324:189– 195, 2003. SCP.

[16] G. Montagna, M. Morelli, O. Nicrosini, M.Farina, and P.Amato. Nn based option pricing. Submitted to Physica A.JP.

[17] P.Amato, M.Farina, G.Palma, and D.Porto. An alife-inspired evolu­tionary algorithm for adaptive control of time-varying systems. In Pro­ceedings of the EUROGEN2001 Conference, Athens, Greece, September 19-21, 2001, pages 227–222. International Center for Numerical Methods in Engineering (CIMNE), Barcelona, Spain, March 2002. CP.

[18] K. Rashid, M.Farina, J. A. Ramirez, J. K. Sykulski, and E. M. Freeman. A comparison of two generalized response surface methods for optimisation in electromagnetics. COMPEL International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 20(3):740–753, 2001. SCP, Highly Commended Award, Emerald Literati Club, 2002.

[19] M.Farina and P. Amato. On the optimal solution definition for many-criteria optimization problems. In Proceedings of the NAFIPS-FLINT International Conference2002, New Orleans, June, 2002, pages 233–238. IEEE Service Center, June 2002. CP.

[20] M.Farina    and P. Amato. A fuzzy definition of optimality for many-criteria decision-making and optimization problems. In press on IEEE Trans. on Sys. Man and Cybern., 2003. JP.

[21] M.Farina    and P. Amato. Nn based response surface and evolutionary algorithms for multicriteria optimization problems with time-consuming objective evaluation. In press on to Soft Computing Journal, 2003. JP.

[22] M.Farina, P. Di Barba, and A. Bramanti. A grs method for pareto-optimal front identification in electromagnetic multiobjective synthesis. IEE Proceedings Science, Measurement and Technology, 149(5):207–213, 2002. JP.

[23] M.Farina and P. Di Barba. Applications of Multi-Objective Evolutionary Algorithms, chapter An application of multi-objective evolutionary algorithms (MOEAs) in Electrical Engineering. World Scientific, Invited chapter to be published in 2004.

[24] M.Farina, A. Bramanti, and P. Di Barba. Combining global and local search of non-dominated solutions in inverse electromagnetism. In Proceedings of the EUROGEN2001 Conference, Athens, Greece, September 19-21, 2001, pages 196–201. International Center for Numerical Meth­ods in Engineering (CIMNE), Barcelona, Spain, March 2002. CP.

[25] M.Farina, K. Deb, and P. Amato. Dynamic multiobjective optimization problems: test cases, approximation and applications. Evolutionary Multiobjective Optimization International Conference EMO03, Faro, Portugal, 2003. CP.

[26] M.Farina, K. Deb, and P. Amato. Dynamic multiobjective optimization problems: test cases, approximation and applications. In press on IEEE Trans. on Evolutionary Computation, 2003. JP.

[27] M.Farina, E. Kovalev, and M. Markin. Multiobjective optimization strategies with uniformly scattered evolutionary search directions. Submitted to IEEE Trans. on Evol. Comp. JP.

[28] M.Farina and P.Amato. Complex system management for emerging ap­plications: mechatronics and nanotechnologies. In Workshop on Optimization and Coupled Problems in Electromagnetism, Naples 22-23 September 2003. CP.

[29] M.Farina    and P.Amato. Fuzzy optimality and evolutionary multiobjective optimization. Evolutionary Multiobjective Optimization International Conference EMO03, Faro, Portugal, 2003. CP.

[30] M.Farina, D. Ruggiero, N. Cesario, and P. Amato. Evolutionary opti­mization of parametric models: the test case of combustion in a diesel engine. In 8th on-line World Conference on Soft Computing in Industrial Applications WSC8, http://wsc8.e-technik.uni-dortmund.de.CP.

[31] M.Farina and J. K. Sykulski. Comparative study of evolution strategies combined with approximation techniques for practical electromagnetic optimisation problem. IEEE Trans. on Mag., 37:3216–3220, 2001. SCP.

[32] M.Farina. Cost-effective Evolutionary Strategies for Pareto Optimal Front Approximation in Multiobjective Shape Design Optimization of Electromagnetic Devices. PhD thesis, Department of Electrical Engi­neering. University of Pavia, Italy, 2001.

[33] M.Farina. A minimal cost hybrid strategy for pareto optimal front ap­proximation. Evolutionary Optimization, 3(1):41–52, 2001. JP.

[34] M.Farina. A Neural Network Based Generalized Response Surface Mul­tiobjective Evolutionary Algorithm. In Congress on Evolutionary Com­putation (CEC’2002), volume 1, pages 956–961, Piscataway, New Jersey, May 2002. IEEE Service Center. CP.

JP: Paper on peer-reviewed Journal, CP: conference paper, SCP: selected conference paper for publication on a journal special issue

Please write me at marco.farina@st.com for the electronic version of papers

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