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Evolutionäre Algorithmen

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Evolutionäre Algorithmen


Beteiligte Personen
M.Sc. Marlon Braun
Dipl.-Inform. Michael Cipold
Dr. Lukas König
Dr.-Ing. Ingo Mauser
Dr.-Ing. Friederike Pfeiffer-Bohnen
Prof. Dr. Hartmut Schmeck
PD Dr. rer. nat. Pradyumn Kumar Shukla



Veröffentlichungen zum Forschungsgebiet

Article
Marlon Braun, Sandra Seijo, Javier Echanobe, Pradyumn Kumar Shukla, Indes del Campo, Javier Garcia-Sedano, Hartmut Schmeck
A neuro-genetic approach for modeling and optimizing a complex cogeneration process
Applied Soft Computing, 48, Seiten 347 - 358, August, 2016
(Details)

Jan Hettenhausen, Andrew Lewis, Sanaz Mostaghim
Interactive Multi-Objective Particle Swarm Optimisation with Heatmap Visualisation based User Interface.
Journal of Engineering Optimization, 42, (2), Seiten 119-139, Februar, 2010
(Details)

Lukas König, Sanaz Mostaghim, Hartmut Schmeck
Decentralized Evolution of Robotic Behavior Using Finite State Machines
International Journal of Intelligent Computing and Cybernetics, 2, (4), Seiten 695-723, Dezember, 2009
(Details)

Ingo Paenke, Tadeusz Kawecki, Bernhard Sendhoff
The Influence of Learning on Evolution - A Mathematical Framework
Artificial Life, 2008
(Details)

Jürgen Branke, P. Funes, F. Thiele
Evolving en-route caching strategies for the internet
Applied Soft Computing Journal, 7, (3), Seiten 890-898, 2007
(Details)

Ingo Paenke, Bernhard Sendhoff, Tadeusz Kawecki
Influence of Plasticity and Learning on Evolution under Directional Selection
The American Naturalist, 170, (2), Seiten E47-E58, 2007
(Details)

Jürgen Branke, Christian Schmidt
Faster convergence by means of fitness estimation
Soft Computing, 9, (1), Seiten 13-20, Januar, 2005
(Details)

Jürgen Branke, Dirk Mattfeld
Anticipation and flexibility in dynamic scheduling
International Journal of Production Research, 43, (15), Seiten 3103-3129, August, 2005
(Details)

I. Fenty, E. Bonabeau, Jürgen Branke
Co-evolving business models: A case study with the internet service provider (ISP) industry
New Mathematics and Natural Computation, 1, (3), Seiten 359-369, 2005
(Details)

Jürgen Branke, Christian Schmidt, Hartmut Schmeck, Volker Klohr
Evolutionäre Algorithmen zur Standortplanung
Industrie Management, 18, (6), Seiten 37-40, 2002
(Details)

Hossam ElGindy, Martin Middendorf, Bernd Scheuermann, Hartmut Schmeck
An Evolutionary Approach to Dynamic Task Scheduling on FPGAs with Restricted Buffer
Journal of Parallel and Distributed Computing, 62, (9), Seiten 1407-1420, September, 2002
(Details)

Oliver Diessel, Hossam ElGindy, Martin Middendorf, Bernd Scheuermann, Hartmut Schmeck
Dynamic Scheduling on Partially Reconfigurable FPGAs
IEE Proceedings - Computers and Digital Techniques, special issue on reconfigurable systems, 147, (3), Seiten 181-188, Mai, 2000
(Details)

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inproceedings
Fredy Rios, Lukas König, Hartmut Schmeck
Stigmergy-Based Scheduling of Flexible Loads
Applications of Evolutionary Computation - 19th European Conference on EvoApplications 2016, Seiten: 475-490, Springer
(Details)

Florian Allerding, Ingo Mauser, Hartmut Schmeck
Customizable Energy Management in Smart Buildings using Evolutionary Algorithms
Applications of Evolutionary Computation: 16th European Conference, EvoApplications 2013, Granada, Spain, April 2014, Proceedings, Springer, April, 2014
(Details)

Ingo Mauser, Marita Dorscheid, Hartmut Schmeck
Run-Time Parameter Selection and Tuning for Energy Optimization Algorithms
Parallel Problem Solving from Nature–PPSN XIII, Seiten: 80-89, Springer International Publishing
(Details)

Ingo Mauser, Marita Dorscheid, Florian Allerding, Hartmut Schmeck
Encodings for Evolutionary Algorithms in smart buildings with energy management systems
Evolutionary Computation (CEC), 2014 IEEE Congress on, Seiten: 2361-2366, IEEE
(Details)

Pradyumn Kumar Shukla, Marlon Braun, Hartmut Schmeck
On the Interrelationships Between Knees and Aggregate Objective Functions
Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion, Seiten: 95-96, ACM, GECCO Comp '14, New York, NY, USA
(Details)

Pradyumn Kumar Shukla, Marlon Braun
Indicator Based Search in Variable Orderings: Theory and Algorithms
In Purshouse, Robin C. and Fleming, Peter J. and Fonseca, Carlos M. and Greco, Salvatore and Shaw, Jane, Evolutionary Multi-Criterion Optimization, Seiten: 66-80, Springer Berlin Heidelberg, Lecture Notes in Computer Science, 7811
(Details)

Pradyumn Kumar Shukla, Michael Emmerich, Andre Deutz
A Theoretical Analysis of Curvature Based Preference Models
in EMO 2013, Springer, LNCS
(Details)

Michael Emmerich, Andre deutz, Johannes Kruisselbrink, Pradyumn Kumar Shukla
Cone-based Hypervolume Indicators: Construction, Properties, and Efficient Computation
in EMO 2013, Springer, LNCS
(Details)

Sabrina Merkel, Patrick Unger, Hartmut Schmeck
Evolutionary Algorithm for Optimal Anchor Node Placement to Localize Devices in a Mobile Ad Hoc Network during Building Evacuation
In ACM Press, Proceedings of the 2013 Genetic and Evolutionary Computation Conference (GECCO '13), Seiten: 1407-1414, ACM, Juli, 2013
(Details)

Pradyumn Kumar Shukla, Marlon Braun, Hartmut Schmeck
Theory and Algorithms for Finding Knees
In Purshouse, Robin C. and Fleming, Peter J. and Fonseca, Carlos M. and Greco, Salvatore and Shaw, Jane, Evolutionary Multi-Criterion Optimization, Seiten: 156-170, Springer Berlin Heidelberg, Lecture Notes in Computer Science, 7811
(Details)

Pradyumn Kumar Shukla, Christian Hirsch, Hartmut Schmeck
Towards a Deeper Understanding of Trade-offs Using Multi-objective Evolutionary Algorithms
EVoStar 2012, Bio-inspired algorithms for continuous parameter optimisation, Seiten: 396--405, Springer, LNCS
(Details)

Florian Allerding, Marc Premm, Pradyumn Kumar Shukla, Hartmut Schmeck
Electrical Load Management in Smart Homes Using Evolutionary Algorithms
In Jin-Kao Hao and Martin Middendorf, Proceedings of the main European events on Evolutionary Computation, Springer, LNCS, Malaga, Spain, April, 2012
(Details)

Michael Cipold, Pradyumn Kumar Shukla, Claus Bachmann, Kaibin Bao, Hartmut Schmeck
An Evolutionary Optimization Approach for Bulk Material Blending Systems
Parallel Problem Solving from Nature - PPSN XII, Springer, Lecture Notes in Computer Science, September, 2012
(Details)

Christian Hirsch, Pradyumn Kumar Shukla, Hartmut Schmeck
Variable Preference Modeling using Multi-objective Evolutionary Algorithms
In R. H. C. Takahashi, K. Deb, E. F. Wanner, S. Greco, Evolutionary Multi-Criterion Optimization, Seiten: 91-105, Springer, LNCS, 6576, Berlin / Heidelberg
(Details)

Pradyumn Kumar Shukla
On Modeling and Evolutionary Optimization of Nonlinearly Coupled Pedestrian Interactions
EVoStar 2010, Evolutionary Algorithms and Complex Systems, Seiten: 21-30, Springer, Lecture Notes in Computer Science, Berlin Heidelberg, April, 2010
(Details)

Sanaz Mostaghim, Heike Trautmann, Olaf Mersmann
Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities
Parallel Problem Solving from Nature (PPSN), Seiten: 101-110, Springer, Berlin Heidelberg, September, 2010
(Details)

Sanaz Mostaghim, Hartmut Schmeck
Self-organized Parallel Cooperation for Solving Optimization Problems
In Mladen Berekovic, Christian Müller Schloer, Christian Hochberger, Stephan Wong, 22nd International Conference on Architecture of Computing Systems, Seiten: 135-145, Springer, Lecture Notes in Computer Science, 5455, Berlin, Heidelberg, März, 2009
(Details)

Markus Kress, Sanaz Mostaghim, Hartmut Schmeck, Detlef Seese
Gap Search in Particle Swarm Optimization
In https://lsiit.u-strasbg.fr/ea09/index.php/Download, 9th International Conference on Artificial Evolution, EA'09, Oktober, 2009
(Details)

Nikhil Padhye, Jürgen Branke, Sanaz Mostaghim
Empirical Comparison of MOPSO methods
Proceedings of the Congress on Evolutionary Computation (CEC'09), Seiten: 2516-2523, IEEE, Trondheim, Norway, Mai, 2009
(Details)

Holger Prothmann, Hartmut Schmeck
Evolutionary algorithms for traffic signal optimisation: A survey
Proceedings of mobil.TUM 2009 - International Scientific Conference on Mobility and Transport, TU München, Mai, 2009
(Details)

Lukas König, Hartmut Schmeck
Evolving Collision Avoidance on Autonomous Robots
In Mike Hinchey and Anastasia Pagnoni and Franz Rammig and Hartmut Schmeck, Biologically Inspired Collaborative Computing, Seiten: 85-94, Springer, IFIP International Federation for Information Processing, 268/2008, Boston, September, 2008
(Details)

Sanaz Mostaghim, Hartmut Schmeck
Distance Based Ranking in Many-Objective Particle Swarm Optimization
In G. Rudolph, T. Jansen, S. Lucas, C. Poloni and N. Beume, Parallel Problem Solving from Nature (PPSN), Seiten: 753-762, Springer-Verlag, LNCS 5199, September, 2008
(Details)

Sanaz Mostaghim
High Performance Multi-Objective Optimization
International Conference on Soft Computing and Intelligent Systems, Seiten: 1501-1511, Nagoya, Japan, September, 2008
(Details)

Ian Scriven, David Ireland, Andrew Lewis, Sanaz Mostaghim, Jürgen Branke
Asynchronous multiple objective particle swarm optimization in unreliable distributed environments
IEEE, Seiten: 2486-2491, Congress on Evolutionary Computation
(Details)

Sanaz Mostaghim, Jürgen Branke, Andrew Lewis, Hartmut Schmeck
Parallel multi-objective optimization using a master-slave model on heterogeneous resources
IEEE, Seiten: 1981-1987, Congress on Evolutionary Computation, Juni, 2008
(Details)

Peter Bungert, Sanaz Mostaghim, Hartmut Schmeck, Jürgen Branke
Design of gate array circuits using evolutionary algorithms
International Conference on Architecture of Computing Systems, Seiten: 38-50, Springer, LNCS, 4934
(Details)

Ingo Paenke, Bernhard Sendhoff, Jon Rowe, Chrisantha Fernando
On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing Environments
In F. Almeida e Costa et al., Advances in Artificial Life, 9th European Conference on Artificial Life, Seiten: 355-364, Springer, LNCS, 4648
(Details)

Ingo Paenke, Jürgen Branke, Yaochu Jin
On the Influence of Phenotype Plasticity on Genotype Diversity
IEEE Symposium on Foundations of Computational Intelligence, Seiten: 33-41
(Details)

Sanaz Mostaghim, Jürgen Branke, Hartmut Schmeck
Multi-Objective Particle Swarm Optimization on Computer Grids
In D. Thierens et al., Proceedings of the 2007 Genetic and Evolutionary Computation Conference, Seiten: 869-874, ACM
(Details)

Jürgen Branke, Clemens Lode, Johnathan Shapiro
Addressing sampling errors and diversity loss in UMDA
In D. Thierens et al., Proceedings of the 2007 Genetic and Evolutionary Computation Conference, Seiten: 508-515, ACM
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Andreas Mitschele, Ingo Österreicher, Frank Schlottmann, Detlef Seese
Heuristic Optimization of Reinsurance Programs and Implications for Reinsurance Buyers
In Waldmann, Karl-Heinz; Stocker, Ulrike M., Operations Research Proceedings 2006, Seiten: 287--292, Springer, Mai, 2007
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Sanaz Mostaghim, Werner E. Halter
Bilevel Optimization of Multi-Component Silicate melts using Particle Swarm Optimization
In Fogel, D. B., IEEE Congress on Evolutionary Computation, 2006. CEC 2006., Seiten: 4383-4390, IEEE Press, IEEE International Conference of World Computational Intelligence, IEEE International Conference of World Computational Intelligence, Juli, 2006
(Details)

Ingo Österreicher, Andreas Mitschele, Frank Schlottmann, Detlef Seese
Comparison of Multi-Objective Evolutionary Algorithms in Optimizing Combinations of Reinsurance Contracts
In Maarten Keijzer et al., GECCO '06: Proceedings of the 8th annual conference on Genetic and evolutionary computation, Seiten: 747-748, ACM Press, 1, New York, NY, USA, Juni, 2006
(Details)

Jürgen Branke, Andreas Kamper, Hartmut Schmeck
Distribution of Evolutionary Algorithms in Heterogeneous Networks
Genetic and Evolutionary Computation Conference, Seiten: 923-934, Springer, LNCS, 3102
(Details)

Jürgen Branke, Hartmut Schmeck, Kalyanmoy Deb, M. Reddy
Parallelizing multi-objective evolutionary algorithms: cone separation
Congress on Evolutionary Computation, Seiten: 1952-1957, IEEE, 2, Juni, 2004
(Details)

Jürgen Branke, Kalyanmoy Deb, Henning Dierolf, M. Osswald
Finding knees in multi-objective optimization
Parallel Problem Solving from Nature, Seiten: 722-731, Springer, LNCS, 3242, Dezember, 2004
(Details)

Hossam ElGindy, Martin Middendorf, Bernd Scheuermann, Hartmut Schmeck
Task Rearrangement on Partially Reconfigurable FPGAs with Restricted Buffer
Field-Programmable Logic and Applications, Seiten: 379-388, Springer, LNCS, 1896, August, 2000
(Details)

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book
Andrew Lewis, Sanaz Mostaghim, Marcus Randall
Biologically-inspired Optimisation Methods: Parallel Algorithms, Systems and Applications
Springer, Studies in Computational Intelligence 210, Juni, 2009
(Details)

Ingo Paenke
Dynamics of Evolution and Learning
Universitätsverlag Karlsruhe, Juni, 2008
(Details)

Jürgen Branke
Nature-inspired Design and Optimization of Complex Systems
Postdoctoral thesis, 2006/02/14, Universität Karlsruhe, Februar, 2006
(Details)

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incollection
Jan Müller, Matthias März, Ingo Mauser, Hartmut Schmeck
Optimization of Operation and Control Strategies for Battery Energy Storage Systems by Evolutionary Algorithms
In Giovanni Squillero and Paolo Burelli, Applications of Evolutionary Computation, Seiten 507-522, Springer International Publishing, Lecture Notes in Computer Science, Vol.9597, 2016
(Details)

Ingo Mauser, Julian Feder, Jan Müller, Hartmut Schmeck
Evolutionary Optimization of Smart Buildings with Interdependent Devices
In Mora, Antonio M. and Squillero, Giovanni, Applications of Evolutionary Computation, Seiten 239-251, Springer International Publishing, Lecture Notes in Computer Science, Vol.9028, 2015
(Details)

Sanaz Mostaghim
Parallel Multi-Objective Optimization using Self-Organized Heterogeneous Resources
In Erick Cantu Paz and Francisco Fernández de Vega, Parallel and Distributed Computational Intelligence, Seiten 165-179, Springer-Verlag, Studies in Computational Intelligence, Berlin Heidelberg, Januar, 2010
(Details)

Markus Kress, Sanaz Mostaghim, Detlef Seese
Intelligent Business Process Execution using Particle Swarm Optimization
In Raymond Chiong, Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering, Kap. 3, Seiten 49-66, IGI Global, Hershey, PA, USA, Juli, 2009
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Andreas Mitschele, Frank Schlottmann, Detlef Seese
Integrated Risk Management: Risk Aggregation and Allocation using Intelligent Systems
In E. Kontoghiorghes, B. Rustem, P. Winker, Computational Methods in Financial Engineering, Seiten 317-342, Springer, 2008
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El-Ghazali Talbi, Sanaz Mostaghim, Tatsuya Okabe, Hisao Ishibuchi, Günter Rudolph, Carlos Coello Coello
Parallel Approaches for Multi-Objective Optimization
In J. Branke, K. deb, K. Miettinen and R. Slowinski, MultiObjective Optimization: Interactive and Evolutionary Approaches, Seiten 329--348, Springer-Verlag, LNCS 5252, Berlin Heidelberg, 2008
(Details)

Jürgen Branke, Kalyan Deb
Integrating user preferences into evolutionary multi-objective optimization
In Yaochu Jin, Knowledge Incorporation in Evolutionary Computation, Seiten 461-478, Springer, Oktober, 2004
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Frank Schlottmann, Detlef Seese
Finding constrained downside risk-return efficient credit portfolio structures using hybrid multi-objective evolutionary computation
In G. Bol; G. Nakhaeizadeh; S. Rachev; T. Ridder; K.-H. Vollmer, Credit risk: measurement, evaluation and management, Seiten 231-266, Physica, Heidelberg, 2003
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Hartmut Schmeck, Udo Kohlmorgen, Jürgen Branke
Parallel implementations of evolutionary algorithms
In Solutions to Parallel and Distributed Computing Problems, Seiten 47-68, Wiley, 2001
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phdthesis
Ingo Paenke
Dynamics of Evolution and Learning
Prof. Dr. Hartmut Schmeck / Prof. Dr. Xin Yao, 2008/02/29, PhD thesis at the Universität Karlsruhe (TH), Fakultät für Wirtschaftswissenschaften
(Details)

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techreport
Jürgen Branke, Gülshat Kulzhabayeva, Sima Uyar
Addressing Change within a Generation
University of Karlsruhe, Institute AIFB, Archiv Nummer 1740 76128 Karlsruhe, Germany, März, 2008
(Details)

Jürgen Branke, Benedikt Scheckenbach, Michael Stein, Kalyan Deb, Hartmut Schmeck
Portfolio Optimization with an Envelope-based Multi-objective Evolutionary Algorithm
University of Karlsruhe, Institute AIFB, Archiv Nummer 1483 76128 Karlsruhe, Germany, (503), August, 2007
(Details)

Sanaz Mostaghim, Jürgen Branke, Hartmut Schmeck
Multi-Objective Particle Swarm Optimization on Computer Grids
Institute AIFB University of Karlsruhe, Archiv Nummer 1393, (502), Technical Report, Dezember, 2006
(Details)

Jürgen Branke, Thomas Kaußler, Hartmut Schmeck
Guiding Multi Objective Evolutionary Algorithms Towards Interesting Regions
University of Karlsruhe, Institute AIFB, Archiv Nummer 239 76128 Karlsruhe, Germany, (398), Januar, 2000
(Details)

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misc
Ingo Paenke
Efficient Search for Robust Solutions by Means of Evolutionary Algorithms and Fitness Approximation
Diploma (master) thesis , Institute AIFB, University of Karlsruhe, Mai, 2004
(Details)

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