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Prof. Mostaghim

Prof. Dr.-Ing. habil. Sanaz Mostaghim

Fakultät für Informatik (FIN)
AG Intelligent Systems
Universitätsplatz 2, 39106, Magdeburg, Gebäude 29, Raum 024
Tel.: +49 391 67 54986
Fax: +49 391 67 12018

Prof. Dr.-Ing. habil. Sanaz Mostaghim

Fakultät für Informatik (FIN)
AG Intelligent Systems
Universitätsplatz 2, 39106, Magdeburg, Gebäude 29, Raum 024
Tel.: +49 391 67 54986
Fax: +49 391 67 12018
Projekte

Aktuelle Projekte

Abgeschlossene Projekte

Publikationen

2017

Begutachteter Zeitschriftenartikel
Zille, Heiner;  Ishibuchi, Hisao;  Mostaghim, Sanaz;  Nojima, Yusuke 

A framework for large-scale multi-objective optimization based on problem transformation
In: IEEE transactions on evolutionary computation: a publication of the IEEE Neural Networks Council - New York, NY: IEEE, insges. 16 S., 2017; http://dx.doi.org/10.1109/TEVC.2017.2704782

Moritz, Ruby L. V.;  Mostaghim, Sanaz 

Heterogeneous evolutionary swarms with partial redundancy solving multi-objective tasks
In: Evolutionary multi-criterion optimization: 9th international conference, EMO 2017, Münster, Germany, March 19-22, 2017 : proceedings - Cham: Springer, S. 453-468 - (Lecture notes in computer science; 10173); http://dx.doi.org/10.1007/978-3-319-54157-0_31 ; [Kongress: 9th International Conference Evolutionary Multi-Criterion Optimization, EMO 2017, Münster, Germany, March 19-22, 2017]

Klamroth, Kathrin;  Mostaghim, Sanaz;  Naujoks, Boris;  Poles, Silvia;  Purshouse, Robin;  Rudolph, Günter;  Ruzika, Stefan;  Sayı  n, Serpil;  Wiecek, Margaret M.;  Yao, Xin 

Multiobjective optimization for interwoven systems
In: Journal of multi-criteria decision analysis - Chichester: Wiley, Bd. 24.2017, 1/2, S. 71-81; http://dx.doi.org/10.1002/mcda.1598

Blank, Julian;  Deb, Kalyanmoy;  Mostaghim, Sanaz 

Solving the Bi-objective Traveling Thief Problem with multi-objective evolutionary algorithms
In: Evolutionary multi-criterion optimization: 9th international conference, EMO 2017, Münster, Germany, March 19-22, 2017 : proceedings - Cham: Springer, S. 46-60 - (Lecture notes in computer science; 10173); http://dx.doi.org/10.1007/978-3-319-54157-0_4 ; [Kongress: 9th International Conference Evolutionary Multi-Criterion Optimization, EMO 2017, Münster, Germany, March 19-22, 2017]

Buchbeitrag
Ramirez-Atencia, Cristian;  Mostaghim, Sanaz;  Camacho, David 

A knee point based evolutionary multi-objective optimization for mission planning problems
In: Proceeding of the Genetic and Evolutionary Computation Conference: Berlin, Germany, July 15 - 19, 2017 - New York, NY: ACM, S. 1216-1223; http://dx.doi.org/10.1145/3071178.3071319 ; [Konferenz: Genetic and Evolutionary Computation Conference, GECCO 2017, Berlin, Germany, 15 - 19 July, 2017]

Zille, Heiner;  Kottenhahn, André;  Mostaghim, Sanaz 

Dynamic distance minimization problems for dynamic multi-objective optimization
In: 2017 IEEE Congress on Evolutionary Computation (CEC): proceedings : 5-8 June 2017, Donostia-San Sebastián, Spain - Piscataway, NJ: IEEE, S. 952-959; http://dx.doi.org/10.1109/CEC.2017.7969411 ; [Kongress: 2017 IEEE Congress on Evolutionary Computation, CEC, Donostia-San Sebastián, Spain, 5-8 June, 2017]

Moritz, Ruby;  Zille, Heiner;  Mostaghim, Sanaz 

Elitism and aggregation methods in partial redundant evolutionary swarms solving a multi-objective tasks
In: 2017 IEEE Congress on Evolutionary Computation (CEC): proceedings : 5-8 June 2017, Donostia-San Sebastián, Spain - Piscataway, NJ: IEEE, S. 1467-1473; http://dx.doi.org/10.1109/CEC.2017.7969476 ; [Kongress: 2017 IEEE Congress on Evolutionary Computation, CEC, Donostia-San Sebastián, Spain, 5-8 June, 2017]

Bartashevich, Palina;  Grimaldi, Luigi;  Mostaghim, Sanaz 

PSO-based search mechanism in dynamic environments - swarms in vector fields
In: 2017 IEEE Congress on Evolutionary Computation (CEC): proceedings : 5-8 June 2017, Donostia-San Sebastián, Spain - Piscataway, NJ: IEEE, S. 1263-1270; http://dx.doi.org/10.1109/CEC.2017.7969450 ; [Kongress: 2017 IEEE Congress on Evolutionary Computation, CEC, Donostia-San Sebastián, Spain, 5-8 June, 2017]

Herausgeberschaft
Mostaghim, Sanaz;  Nürnberger, Andreas;  Borgelt, Christian 

Frontiers in Computational Intelligence
In: [s.l.]: Springer International Publishing AG 2018, 2017, 1 Online-Ressource - (Studies in computational intelligence; 739), ISBN: 978-3-319-67789-7

Mostaghim, Sanaz [HerausgeberIn];  Nürnberger, Andreas [HerausgeberIn];  Borgelt, Christian [HerausgeberIn] 

Frontiers in Computational Intelligence
In: [s.l.] Springer International Publishing AG 2018, 2017, 1 Online-Ressource - (Studies in computational intelligence; 739); http://dx.doi.org/10.1007/978-3-319-67789-7, ISBN 978-3-319-67789-7

2016

Begutachteter Zeitschriftenartikel
Hamann, Heiko;  Khaluf, Yara;  Botev, Jean;  Divband Soorati, Mohammad;  Ferrante, Eliseo;  Kosak, Oliver;  Montanier, Jean-Marc;  Mostaghim, Sanaz;  Redpath, Richard;  Timmis, Jon;  Veenstra, Frank;  Wahby, Mostafa;  Zamuda, Aleš   

Hybrid societies - challenges and perspectives in the design of collective behavior in self-organizing systems
In: Frontiers in robotics and AI. - Lausanne; Vol. 3.2016, Art. 14, insgesamt 8 S.

Buchbeitrag
Mostaghim, Sanaz;  Steup, Christoph;  Witt, Fabian 

Energy aware particle swarm optimization as search mechanism for aerial micro-robots
In: The 2016 IEEE Symposium Series on Computational Intelligence : December 6th - 9th, 2016, Athens, Greece. - Piscataway, NJ : IEEE, insges. 7 S. ; [Kongress: 2016 IEEE Symposium Series on Computational Intelligence, Athens, Greece, 6-9 December, 2016]

Harada, Kei;  Tanaka, Misato;  Hiwa, Satoru;  Zille, Heiner;  Mostaghim, Sanaz;  Hiroyasu, Tomoyuki 

Functional brain network extraction using a genetic algorithm with a kick-out method
In: IEEE World Congress on Computational Intelligence (IEEE WCCI 2016). - Piscataway, NJ : IEEE, S. 4721-4727 ; [Kongress: IEEE World Congress on Computational Intelligence, IEEE WCCI 2016, Vancouver, Canada, 24 - 29 July, 2016]

Pieper, Franz;  Mostaghim, Sanaz 

Influence of dynamic environments on agent strategies
In: The 2016 IEEE Symposium Series on Computational Intelligence : December 6th - 9th, 2016, Athens, Greece. - Piscataway, NJ : IEEE, insges. 8 S. ; [Kongress: 2016 IEEE Symposium Series on Computational Intelligence, Athens, Greece, 6-9 December, 2016]

Steup, Christoph;  Mostaghim, Sanaz;  Mäurer, Lukas;  Velinov, Vladimir 

Mixed-reality simulation environment for a swarm of autonomous indoor quadcopters
In: Rotorcraft Virtual Engineering Conference : Rotocraft Conference : 8-10 November, Liverpool. - [London]; 2016, paper 5.17, insgesamt 11 S. ; [Kongress: Rotorcraft Virtual Engineering Conference, Liverpool, 8-10 November, 2016]

Laack, Patrick;  Zille, Heiner;  Mostaghim, Sanaz 

Multi-objective fitness-proportional attraction approach with weights
In: IEEE World Congress on Computational Intelligence (IEEE WCCI 2016). - Piscataway, NJ : IEEE, S. 3316-3323 ; [Kongress: IEEE World Congress on Computational Intelligence, IEEE WCCI 2016, Vancouver, Canada, 24 - 29 July, 2016]

Perez-Liebana, Diego;  Mostaghim, Sanaz;  Lucas, Simon 

Multi-objective tree search approaches for general video game playing
In: IEEE World Congress on Computational Intelligence (IEEE WCCI 2016). - Piscataway, NJ : IEEE, S. 624-631 ; [Kongress: IEEE World Congress on Computational Intelligence, IEEE WCCI 2016, Vancouver, Canada, 24 - 29 July, 2016]

Zille, Heiner;  Ishibuchi, Hisao;  Mostaghim, Sanaz;  Nojima, Yusuke 

Mutation operators based on variable grouping for multi-objective large-scale optimization
In: The 2016 IEEE Symposium Series on Computational Intelligence : December 6th - 9th, 2016, Athens, Greece. - Piscataway, NJ : IEEE, insges. 8 S. ; [Kongress: 2016 IEEE Symposium Series on Computational Intelligence, Athens, Greece, 6-9 December, 2016]

Moritz, Ruby;  Mostaghim, Sanaz 

The influence of heredity models on adaptability in evolutionary swarms
In: Proceedings of the International Conference on Genetic and evolutionary computation conference 2016. - New York, NY : ACM, S. 37-44

Zille, Heiner;  Ishibuchi, Hisao;  Mostaghim, Sanaz;  Nojima, Yusuke 

Weighted optimization framework for large-scale multi-objective optimization
In: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. - New York, NY : ACM, S. 83-84

Nicht begutachteter Zeitschriftenartikel
Steup, Christoph;  Mostaghim, Sanaz;  Mai, Sebastian 

Evaluation platform for micro aerial indoor swarm robotics
In: Magdeburg: FIN, 2016; 13 Seiten - (Technical Report / Otto-von-Guericke-Universität Magdeburg, Fakultät für Informatik; 2016,03)

Wissenschaftliche Monographie
Kruse, Rudolf;  Borgelt, Christian;  Braune, Christian;  Mostaghim, Sanaz;  Steinbrecher, Matthias 

Computational Intelligence - A Methodological Introduction
In: London: Imprint: Springer$h2016, 2nd ed. 2016; 1 Online-Ressource (XIII, 564 p. 255 illus) - (Texts in Computer Science), ISBN 978-1-4471-7296-3

2015

Artikel in Kongressband
Neufeld, Xenija;  Mostaghim, Sanaz;  Perez, Diego 

Procedural level generation with answer set programming for general video game playing
In: 7th Computer Science and Electronic Engineering Conference (CEEC). - IEEE, S. 207-212, 2015

Begutachteter Zeitschriftenartikel
Mirjalili, Seyedali;  Lewis, Andrew;  Mostaghim, Sanaz 

Confidence measure - a novel metric for robust meta-heuristic optimisation algorithms
In: Information sciences : an international journal. - New York, NY : Elsevier Science Inc, Bd. 317.2015, S. 114-142

Perez, Diego;  Mostaghim, Sanaz;  Samothrakis, Spyridon;  Lucas, Simon 

Multiobjective Monte Carlo tree search for real-time games
In: IEEE transactions on computational intelligence and AI in games. - New York, NY : IEEE, Bd. 7.2015, 4, S. 347 - 360

Ishibuchi, Hisao;  Klamroth, Kathrin;  Mostaghim, Sanaz;  Naujoks, Boris;  Poles, Silvia;  Purshouse, Robin;  Rudolph, Günter;  Ruzika, Stefan 

Multiobjective Optimization for Interwoven Systems
In: Dagstuhl Reports : Dokumentationen zu Dagstuhl-Seminaren und Dagstuhl-Perspektiven-Workshops. - Wadern : Schloss Dagstuhl, Bd. 5.2015, 1, S. 139-150

Buchbeitrag
Liebana Perez, Diego;  Diskau, Jens;  Hünnermund, Martin;  Mostaghim, Sanaz;  Lucas, Simon 

Open loop search for general video game playing
In: Proceeding of the 2015 on Genetic and Evolutionary Computation Conference. - New York, NY : ACM, S. 337-344

Neufeld, Xenija;  Mostaghim, Sanaz;  Perez-Liebana, Diego 

Procedural level generation with answer set programming for general Video Game playing
In: 2015 7th Computer Science and Electronic Engineering Conference (CEEC). - IEEE, S. 207-212

Zille, Heiner;  Mostaghim, Sanaz 

Properties of scalable distance minimization problems using the Manhattan metric
In: 2014 IEEE Congress on Evolutionary Computation (CEC 2015). - IEEE, S. 2875-2882

Hähner, Jörg;  Brinkschulte, Uwe;  Lukowicz, Paul;  Mostaghim, Sanaz;  Sick, Bernhard;  Tomforde, Sven 

Runtime self-integration as key challenge for mastering interwoven systems
In: Proceedings of ARCS 2015 : the 28th International Conference on Architecture of Computing Systems ; March 24 - 27, 2015, Porto, Portugal. - IEEE, insges. 8 S.

Zille, Heiner;  Mostaghim, Sanaz 

Using -dominance for Hidden and degenerated pareto-fronts
In: IEEE SSCI 2015 : 2015 IEEE Symposium Series on Computational Intelligence ; 7-10 December 2015, Cape Town, South Afrika. - Piscataway, NJ : IEEE[Beitrag auf USB-Stick]

Originalartikel in begutachteter zeitschriftenartiger Reihe
Perez Liebana, Diego;  Dieskau, Jens;  Hunermund, Martin;  Mostaghim, Sanaz;  Lucas, Simon 

Open Loop Search for General Video Game Playing
In: 2015,

2014

Begutachteter Zeitschriftenartikel
Merkel, Sabrina;  Mostaghim, Sanaz;  Schmeck, Hartmut 

Hop count based distance estimation in mobile ad hoc networks - challenges and consequences
In: Ad hoc Networks. - Amsterdam [u.a.] : Elsevier Science, Bd. 15.2014, S. 39-52

Merkel, Sabrina;  Mostaghim, Sanaz;  Schmeck, Hartmut 

Self-organized swarm display
In: International Journal of Swarm Intelligence: IJSI - Genève: Inderscience Enterprises, 2014; http://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijsi

Buchbeitrag
Purshouse, R.;  Deb, K.;  Mansor, M.;  Mostaghim, Sanaz;  Wang, R. 

A review of hybrid evolutionary multiple criteria decision making methods
In: IEEE Congress on Evolutionary Computation (CEC), 2014. - Piscataway, NJ : IEEE, S. 1147-1154

André, Britto;  Mostaghim, Sanaz;  Pozo, Aurora 

Archive based multi-swarm algorithm for many-objective problems
In: 2014 Brazilian Conference on Intelligent Systems, BRACIS 2014. - Piscataway, NJ : IEEE, S. 79-84

2013

Begutachteter Zeitschriftenartikel
Helwig, Sabine;  Branke, Juergen;  Mostaghim, Sanaz 

Experimental analysis of bound handling techniques in particle swarm optimization
In: IEEE transactions on evolutionary computation. - New York, NY : IEEE, Bd. 17.2013, 2, S. 259-271

Folino, G.;  Mastroianni, C.;  Mostaghim, S. 

Preface: Nature inspired solutions for high performance computing
In: Natural Computing, Vol. 12, 2013, Issue 1, S. 27-28, ISSN 15677818, 10.1007/s11047-012-9326-9

Buchbeitrag
Merkel, Sabrina;  Mostaghim, Sanaz;  Blum, D.;  Schmeck, Hartmut 

Distributed swarm evacuation planning
In: Proceedings of the 2013 IEEE Swarm Intelligence Symposium (SIS). - Piscataway, NJ : IEEE, S. 276-283

Britto, Andre;  Mostaghim, Sanaz;  Pozo, Aurora 

Iterated multi-swarm: a multi-swarm algorithm based on archiving methods
In: Alba, Enrique: : Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference. - New York, NY : ACM, S. 583-590, 2013

Originalartikel in begutachteter internationaler Zeitschrift
Merkel, Sabrina;  Mostaghim, Sanaz;  Schmeck, Hartmut 

Hop Count Based Distance Estimation in Mobile Ad Hoc Networks - Challenges and Consequences
In: Journal of Ad Hoc Networks on “Smart Solutions for Mobility Supported Distributed and Embedded Systems”

Originalartikel in begutachteter zeitschriftenartiger Reihe
Presse, Andre;  Mostaghim, Sanaz;  Stroisch, Philip 

Identification of Success Criteria and underlying Parameters for the Evaluation of newly created Ventures
In: 17th Interdisciplinary Entrepreneurship Conference, November 2013

Britto, Andre;  Mostaghim, Sanaz;  Pozo, Ana 

Multi-iterated Swarm
In: Genetic and Evolutionary Computation Conference (GECCO), pages 56 – 64, July 2013

2012

Begutachteter Zeitschriftenartikel
Merkel, S.;  Mostaghim, S.;  Schmeck, H. 

Distributed geometric distance estimation in ad hoc networks
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 7363 LNCS, 2012, S. 28-41, ISSN 03029743, 10.1007/978-3-642-31638-8_3

Laredo, J.L.J.;  Bouvry, P.;  Mostaghim, S.;  Merelo-Guervós, J.-J. 

Validating a peer-to-peer evolutionary algorithm
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 7248 LNCS, 2012, S. 436-445, ISSN 03029743, 10.1007/978-3-642-29178-4_44

Herausgeberschaft
Merkel, S.;  Mostaghim, S.;  Schmeck, H. 

A study of mobility in ad hoc networks and its effects on a hop count based distance estimation
In: 2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops, 2012, 10.1109/NTMS.2012.6208681

Aleti, A.;  Moser, I.;  Mostaghim, S. 

Adaptive range parameter control
In: 2012 IEEE Congress on Evolutionary Computation, CEC 2012, 2012, 10.1109/CEC.2012.6256567

2011

Herausgeberschaft
Folino, G.;  Mastroianni, C.;  Mostaghim, S.;  Suzuki, J. 

8th International Conference on Autonomic Computing, ICAC 2011 Co-located Workshops - Proceedings of the 3rd Workshop on Biologically Inspired Algorithms for Distributed Systems, BADS 2011: Foreword
In: 8th International Conference on Autonomic Computing, ICAC 2011 Co-located Workshops - Proceedings of the 3rd Workshop on Biologically Inspired Algorithms for Distributed Systems, BADS 2011, 2011, S. iii-iv

König, L.;  Mostaghim, S.;  Schmeck, H. 

A Markov-chain-based model for success prediction of evolution in complex environments
In: ECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications, 2011, S. 90-102

Mostaghim, S.;  Pfeiffer, F.;  Schmeck, H. 

Self-organized invasive parallel optimization
In: 8th International Conference on Autonomic Computing, ICAC 2011 Co-located Workshops - Proceedings of the 3rd Workshop on Biologically Inspired Algorithms for Distributed Systems, BADS 2011, 2011, S. 49-56, 10.1145/1998570.1998581

2010

Begutachteter Zeitschriftenartikel
Hettenhausen, J.;  Lewis, A.;  Mostaghim, S. 

Interactive multi-objective particle swarm optimization with heatmap-visualization-based user interface
In: Engineering Optimization, Vol. 42, 2010, Issue 2, S. 119-139, ISSN 0305215X, 10.1080/03052150903042632

Mostaghim, S. 

Parallel multi-objective optimization using self-organized heterogeneous resources
In: Studies in Computational Intelligence, Vol. 269, 2010, S. 165-179, ISSN 1860949X, 10.1007/978-3-642-10675-0_8

Mostaghim, S.;  Trautmann, H.;  Mersmann, O. 

Preference-based multi-objective particle swarm optimization using desirabilities
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 6239 LNCS, 2010, Issue PART 2, S. 101-110, ISSN 03029743, 10.1007/978-3-642-15871-1_11

Herausgeberschaft
Wüensche, M.;  Mostaghim, S.;  Schmeck, H.;  Kautzmann, T.;  Geimer, M. 

Organic computing in off-highway machines
In: Proceeding of the 2nd International Workshop on Self-Organizing Architectures, SOAR \'10, Co-located with ICAC\'10, 2010, S. 51-58, 10.1145/1809036.1809048

Mostaghim, S. 

Parallel optimisation and parameter fitting
In: Proceedings - 6th IEEE International Conference on e-Science Workshops, e-ScienceW 2010, 2010, S. xii, 10.1109/eScienceW.2010.8

Moser, I.;  Mostaghim, S. 

The automotive deployment problem: A practical application for constrained multiobjective evolutionary optimisation
In: 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010, 2010, 10.1109/CEC.2010.5585991

2009

Begutachteter Zeitschriftenartikel
Lewis, A.;  Mostaghim, S.;  Scriven, I. 

Asynchronous multi-objective optimisation in unreliable distributed environments
In: Studies in Computational Intelligence, Vol. 210, 2009, S. 51-78, ISSN 1860949X, 10.1007/978-3-642-01262-4_3

König, L.;  Mostaghim, S.;  Schmeck, H. 

Decentralized evolution of robotic behavior using finite state machines
In: International Journal of Intelligent Computing and Cybernetics, Vol. 2, 2009, Issue 4, S. 695-723, ISSN 1756378X, 10.1108/17563780911005845

Mostaghim, S.;  Schmeck, H. 

Self-organized parallel cooperation for solving optimization problems
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 5455 LNCS, 2009, S. 135-145, ISSN 03029743, 10.1007/978-3-642-00454-4_15

Lewis, A.;  Mostaghim, S.;  Randall, M. 

Studies in Computational Intelligence: Preface
In: Studies in Computational Intelligence, Vol. 210, 2009, S. V-IX, ISSN 1860949X

Herausgeberschaft
Scriven, I.;  Lewis, A.;  Mostaghim, S. 

Dynamic search initialisation strategies for multi-objective optimisation in peer-to-peer networks
In: 2009 IEEE Congress on Evolutionary Computation, CEC 2009, 2009, S. 1515-1522, 10.1109/CEC.2009.4983122

Padhye, N.;  Branke, J.;  Mostaghim, S. 

Empirical comparison of MOPSO methods-guide selection and diversity preservation
In: 2009 IEEE Congress on Evolutionary Computation, CEC 2009, 2009, S. 2516-2523, 10.1109/CEC.2009.4983257

Kress, M.;  Mostaghim, S.;  Seese, D. 

Intelligent business process execution using particle swarm optimization
In: Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering, 2009, S. 49-66, 10.4018/978-1-60566-705-8.ch003

König, L.;  Mostaghim, S.;  Schmeck, H. 

Online and onboard evolution of robotic behavior using finite state machines
In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, Vol. 2, 2009, S. 1158-1159, ISSN 15488403

2008

Begutachteter Zeitschriftenartikel
Bungert, P.;  Mostaghim, S.;  Schmeck, H.;  Branke, J. 

Design of gate array circuits using evolutionary algorithms
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 4934 LNCS, 2008, S. 38-50, ISSN 03029743, 10.1007/978-3-540-78153-0_5

Mostaghim, S.;  Schmeck, H. 

Distance based ranking in many-objective particle swarm optimization
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 5199 LNCS, 2008, S. 753-762, ISSN 03029743, 10.1007/978-3-540-87700-4_75

Schütze, O.;  Coello, C.A.C.;  Mostaghim, S.;  Talbi, E.-G.;  Dellnitz, M. 

Hybridizing evolutionary strategies with continuation methods for solving multi-objective problems
In: Engineering Optimization, Vol. 40, 2008, Issue 5, S. 383-402, ISSN 0305215X, 10.1080/03052150701821328

Talbi, E.-G.;  Mostaghim, S.;  Okabe, T.;  Ishibuchi, H.;  Rudolph, G.;  Coello Coello, C.A. 

Parallel approaches for multiobjective optimization
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 5252 LNCS, 2008, S. 349-372, ISSN 03029743, 10.1007/978-3-540-88908-3-13

Herausgeberschaft
Scriven, I.;  Ireland, D.;  Lewis, A.;  Mostaghim, S.;  Branke, J. 

Asynchronous multiple objective particle swarm optimisation in unreliable distributed environments
In: 2008 IEEE Congress on Evolutionary Computation, CEC 2008, 2008, S. 2481-2486, 10.1109/CEC.2008.4631130

Lewis, A.;  Mostaghim, S.;  Randall, M. 

Evolutionary population dynamics and multi-objective optimisation problems
In: Multi-Objective Optimization in Computational Intelligence: Theory and Practice, 2008, S. 185-206, 10.4018/978-1-59904-498-9.ch007

Mostaghim, S.;  Branke, J.;  Lewis, A.;  Schmeck, H. 

Parallel multi-objective optimization using master-slave model on heterogeneous resources
In: 2008 IEEE Congress on Evolutionary Computation, CEC 2008, 2008, S. 1981-1987, 10.1109/CEC.2008.4631060

2007

Begutachteter Zeitschriftenartikel
Pryke, A.;  Mostaghim, S.;  Nazemi, A. 

Heatmap visualization of population based multi objective algorithms
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 4403 LNCS, 2007, S. 361-375, ISSN 03029743

Herausgeberschaft
Mostaghim, S.;  Branke, J.;  Schmeck, H. 

Multi-objective particle swarm optimization on computer grids
In: Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference, 2007, S. 869-875, 10.1145/1276958.1277127

2006

Begutachteter Zeitschriftenartikel
Branke, J.;  Mostaghim, S. 

About selecting the personal best in multi-objective particle swarm optimization
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 4193 LNCS, 2006, S. 523-532, ISSN 03029743

Mostaghim, S.;  Halter, W.;  Wille, A. 

Linear multi-objective particle swarm optimization
In: Studies in Computational Intelligence, Vol. 31, 2006, S. 209-238, ISSN 1860949X, 10.1007/978-3-540-34690-6_9

Herausgeberschaft
Halter, W.;  Mostaghim, S. 

Bilevel optimization of multi-component chemical systems using particle swarm optimization
In: 2006 IEEE Congress on Evolutionary Computation, CEC 2006, 2006, S. 1240-1247

Ireland, D.;  Lewis, A.;  Mostaghim, S.;  Lu, J.W. 

Hybrid particle guide selection methods in multi-objective particle swarm optimization
In: e-Science 2006 - Second IEEE International Conference on e-Science and Grid Computing, 2006, 10.1109/E-SCIENCE.2006.261049

2004

Herausgeberschaft
Mostaghim, S.;  Teich, J. 

Covering Pareto-optimal fronts by subswarms in multi-objective particle swarm optimization
In: Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004, Vol. 2, 2004, S. 1404-1411

Mostaghim, S.;  Hoffmann, M.;  König, P.H.;  Frauenheim, Th.;  Teich, J. 

Molecular force field parametrization using multi-objective evolutionary algorithms
In: Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004, Vol. 1, 2004, S. 212-219

2003

Begutachteter Zeitschriftenartikel
Schütze, O.;  Mostaghim, S.;  Dellnitz, M.;  Teich, J. 

Covering Pareto sets by multilevel evolutionary subdivision techniques
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2632, 2003, S. 118-132, ISSN 03029743

Haubelt, C.;  Mostaghim, S.;  Teich, J.;  Tyagi, A. 

Solving hierarchical optimization problems using MOEAs
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2632, 2003, S. 162-176, ISSN 03029743

Herausgeberschaft
Mostaghim, S.;  Teich, J. 

The role of ε-dominance in multi objective particle swarm optimization methods
In: 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings, Vol. 3, 2003, S. 1764-1771, 10.1109/CEC.2003.1299886

2002

Herausgeberschaft
Mostaghim, S.;  Teich, J.;  Tyagi, A. 

Comparison of data structures for storing Pareto-sets in MOEAs
In: Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002, Vol. 1, 2002, S. 843-848, 10.1109/CEC.2002.1007035

Kooperationen
  • Prof. Dr. Simon Lucas, University of Essex, UK
  • Prof. Dr. Hisao Ishibuchi, Osaka Prefecture University, Japan
  • Tomo Hiroyasu, Doshisha University Kyoto, Japan
  • Proctor and Gamble GmbH
  • - Prof. Dr. Tomo Hiroyasu, Medical Information System Laborator(MISL) Faculty of Life and Medical Sciences, Doshisha University, Japan
  • - Dr. Andrew Lewis, Griffith University, Brisbane, Australien
  • - Prof. Dr. Kalyanmoy Deb, Michigan State University, USA
  • - Prof. Dr. Hartmut Schmeck, Karlsruher Institut für Technologie (KIT)
  • - Prof. Dr. Brian Scassellati, Yale University, USA
  • - Dr. Andr Presse, Karlsruher Institut für Technologie (KIT)
Profil
    • Computational Intelligence
    • Schwarmintelligenz
    • Schwarmrobotik
    • Multikriterielle Optimierung
Service
Beratung, Gutachten und Projekte zu:
    • Schwarmintelligenz und Schwarmrobotik
    • Computational Intelligence
    • Multikriterielle Optimierung
Vita
seit 2014 


2013 -14
Universitätsprofessorin, Lehrstuhl für Intelligente SystemeInstitut für Wissens- und Sprachverarbeitung (IWS) Fakultät für Informatik Otto-von-Guericke-Universität Magdeburg

Dorothea-Erxleben-Gastprofessorin Institut für Wissens- und Sprachverarbeitung (IWS) Fakultät für Informatik Otto-von-Guericke-Universität Magdeburg
2013Visiting Scholar Faculty of Computer Science Yale University, USA
Mai 2012Habilitation Angewandte Informatik Karlsruher Institut für Technologie (KIT)
2009-2010Gastwissenschaftlerin Faculty of Information and Communication Technologies Swinburne University of Technology, Melbourne, Australien
2006 - 13Akademische Rätin auf Zeit Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) Karlsruher Institut für Technologie (KIT)
2004 - 06Postdoctoral Fellow Computational Laboratory (CoLab) Institute of Computational Science Department Informatik  ETH Zürich - Eidgenössische Technische Hochschule Zürich
September 2004Promotion Fakultät für Elektrotechnik, Informatik und Mathematik (EIM) Universität Paderborn
2001 - 04Doktorandin DFG Graduiertenkolleg - Paderborn Institute for Scientific Computation (PaSCo): Application-oriented Modelling and Development of Algorithms Fakultät für Elektrotechnik, Informatik und Mathematik (EIM) Universität Paderborn
Presse
Our major focus in research and teaching is on Intelligent Systems, particularly Computational Intelligence and Swarm Intelligence.Computational Intelligence is an important tool for dealing with complex systems and can be used everywhere: automotive industry, medical applications, chemistry, geology, entrepreneurship, system design, games, biology, etc. In this area, we work on evolutionary algorithms, particle swarm optimization and their applications on multi-objective problems.Furthermore, we study algorithms and different applications of Swarm Intelligence in optimization, swarm robotics, and distributed systems. Swarm Intelligence is a collective learning mechanism with the goal to achieve a global complex and intelligent behavior using simple rules on simple technical devices.

Letzte Änderung: 28.08.2017 - Ansprechpartner:

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