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% von mir ergänzt
@article{denby2003swarm,
title={Swarm intelligence in optimisation problems},
author={Denby, B. and Le Hegarat-Mascle, S.},
journal={Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment},
volume={502},
number={2},
pages={364--368},
year={2003},
publisher={Elsevier}
},
% von mir ergänzt
@book{blum2008swarm,
title={Swarm intelligence: introduction and applications},
author={Blum, C. and Merkle, D.},
year={2008},
publisher={Springer-Verlag New York Inc}
},
@book{bib:Kramer_2009_intelligence,
author={Kramer, Oliver},
title={Computational intelligence: eine Einf{\"u}hrung},
year={2009},
address={New York},
publisher={Springer Verlag},
},
% überblick
% TODO: Vorname nachtragen
@article{bib:kennedy_2006_swarm,
title={Swarm intelligence},
author={Kennedy, J.},
journal={Handbook of Nature-Inspired and Innovative Computing},
pages={187--219},
year={2006},
publisher={Springer}
},
% Swarmintelligence
@PHDTHESIS{bib:Thiem_2008_Swarmintelligence,
author = {Stefanie Thiem},
title = {Swarmintelligence - Simulation, Optimization and Comparative Analysis},
school = {Chemnitz University of Technology},
month = {January},
year = {2008},
type = {Diplom Thesis}
},
% general Overview
@INPROCEEDINGS{5623005,
author={Yan-fei Zhu and Xiong-min Tang},
booktitle={Computer Application and System Modeling (ICCASM), 2010 International Conference on},
title={Overview of swarm intelligence},
year={2010},
month={oct.},
volume={9},
number={},
pages={V9-400 -V9-403},
doi={10.1109/ICCASM.2010.5623005},
},
% TODO: Name nachtragen
@book{bib:engelbrecht_2005_swarmintelligence,
title={Fundamentals of computational swarm intelligence},
author={Engelbrecht, A.P.},
volume={1},
year={2005},
publisher={Wiley Chichester}
},
% collective intelligence; 672 zitationen; grundlagen werk
@article{DBLP:journals/corr/cs-LG-9908014,
author = {David Wolpert and Kagan Tumer},
title = {An Introduction to Collective Intelligence},
journal = {CoRR},
volume = {cs.LG/9908014},
year = {1999},
ee = {http://arxiv.org/abs/cs.LG/9908014},
},
@article{lykourentzou2011collective,
title={Collective Intelligence Systems: Classification and Modeling},
author={Lykourentzou, I. and Vergados, D.J. and Kapetanios, E. and Loumos, V.},
journal={Journal of Emerging Technologies in Web Intelligence},
volume={3},
number={3},
pages={217--226},
year={2011}
},
@inproceedings{zhu2010overview,
title={Overview of swarm intelligence},
author={Zhu, Y. and Tang, X.},
booktitle={Computer Application and System Modeling (ICCASM), 2010 International Conference on},
volume={9},
pages={V9--400},
year={2010},
organization={IEEE}
},
% swarm intelligence, load dispatch; 167 zitationen
@ARTICLE{bib:pso_pid_gaing,
author = {Zwe-Lee Gaing},
title = {A particle swarm optimization approach for optimum design of PID
controller in AVR system},
journal = {Energy Conversion, IEEE Transactions on},
year = {2004},
volume = {19},
pages = {384 - 391},
number = {2},
month = {june},
doi = {10.1109/TEC.2003.821821},
},
% sollte neben bib:pso_pid_gaing genauer beachtet werden!
@inproceedings{Korani2009,
author = {Korani, W. M. and Dorrah, H. T. and Emara, H. M. },
title = {Bacterial foraging oriented by Particle Swarm Optimization strategy for PID tuning},
booktitle = {Proc. IEEE Int Computational Intelligence in Robotics and Automation (CIRA) Symp},
year = {2009},
pages = {445--450},
doi = {10.1109/CIRA.2009.5423165},
},
% hat das was mit unseren PID zu tun?
@article{Jin2010,
author = {Nanbo Jin and Rahmat-Samii, Y. },
title = {Hybrid Real-Binary Particle Swarm Optimization (HPSO) in Engineering Electromagnetics},
journal = IEEE_J_AP,
year = {2010},
volume = {58},
pages = {3786--3794},
number = {12},
doi = {10.1109/TAP.2010.2078477},
},
% hat das was mit unserem Thema zu tun
@inproceedings{Abdul-Malek2009,
author = {Abdul-Malek, M. A. and Abido, M. A. },
title = {STATCOM based controller design using Particle Swarm Optimization for power system stability enhancement},
booktitle = {Proc. IEEE Int. Symp. Industrial Electronics ISIE 2009},
year = {2009},
pages = {1218--1223},
doi = {10.1109/ISIE.2009.5214495},
},
% 15.789 mal zitiert, Zentralquelle
% daraus folgt: Eberhart, R. und Kennedy, J. sind die wichtigsten Forscher unseres Gebiets
% TODO: Vornamen nachtragen
@INPROCEEDINGS{bib:pso_kennedy,
author = {Kennedy, J. and Eberhart, R.},
title = {Particle swarm optimization},
booktitle = {Neural Networks, 1995. Proceedings., IEEE International Conference on},
year = {1995},
volume = {4},
pages = {1942 -1948 vol.4},
doi = {10.1109/ICNN.1995.488968},
},
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% @keyword: ""collective intelligence" OR "swarm intelligence" collision "
% @cited: 74
% @topic: collision detection
% @via: scholar.google.de
% @relevance: high (preferred)
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@inproceedings{blackwell_dont_2002,
title = {Don't push me! Collision-avoiding swarms},
volume = {2},
isbn = {0-7803-7282-4},
doi = {10.1109/CEC.2002.1004497},
booktitle = {Proceedings of the 2002 Congress on Evolutionary Computation, 2002. {CEC} '02},
publisher = {{IEEE}},
author = {Blackwell, T. M and Bentley, P.},
year = {2002},
pages = {1691--1696}
},
@ARTICLE{bib:pso_electromagn_robinson,
author = {Robinson, J. and Rahmat-Samii, Y.},
title = {Particle swarm optimization in electromagnetics},
journal = {Antennas and Propagation, IEEE Transactions on},
year = {2004},
volume = {52},
pages = {397 - 407},
number = {2},
month = {feb.},
doi = {10.1109/TAP.2004.823969},
}
@ARTICLE{bib:pso_methods_sedighizadeh,
author = {Sedighizadeh, D. and Masehian, E.},
title = {Particle Swarm Optimization Methods, Taxonomy and Applications},
journal = {International Journal of Computer Theory and Engineering},
year = {2009},
volume = {1},
pages = {1793--8201},
number = {5},
owner = {cornelius},
timestamp = {2011.11.26}
}
@INPROCEEDINGS{bib:salesman_wang,
author = {Kang-Ping Wang and Lan Huang and Chun-Guang Zhou and Wei Pang},
title = {Particle swarm optimization for traveling salesman problem},
booktitle = {Machine Learning and Cybernetics, 2003 International Conference on},
year = {2003},
volume = {3},
pages = { 1583 - 1585 Vol.3},
month = {nov.},
doi = {10.1109/ICMLC.2003.1259748},
}
%% überblick über verschiedene Algorithmen favorisierte Quelle!
%% http://www.springerlink.com/content/mt70684828340818/
@incollection{springerlink:10.1007/978-3-642-23935-9_3,
author = {Chu, Shu-Chuan and Huang, Hsiang-Cheh and Roddick, John and Pan, Jeng-Shyang},
title = {Overview of Algorithms for Swarm Intelligence},
booktitle = {Computational Collective Intelligence. Technologies and Applications},
series = {Lecture Notes in Computer Science},
editor = {Jedrzejowicz, Piotr and Nguyen, Ngoc and Hoang, Kiem},
publisher = {Springer Berlin / Heidelberg},
isbn = {978-3-642-23934-2},
pages = {28-41},
volume = {6922},
url = {http://dx.doi.org/10.1007/978-3-642-23935-9_3},
year = {2011}
}
%%googlescholar "swarm intelligence" %%allgemein über das thema
@book{shi2011handbook,
title={Handbook of Swarm Intelligence: Concepts, Principles and Applications},
author={Shi, Y.},
volume={8},
year={2011},
publisher={Springer Verlag}
}
%% google bücher: Künstlichen Intelligenz allgemin, robotik, softwareagent
@book{görz2003handbuch,
title={Handbuch der k{\"u}nstlichen Intelligenz},
author={G{\"o}rz, G.},
year={2003},
publisher={Oldenbourg Wissenschaftsverlag}
}
%Suchen auf Deutsch
% Begriff "Schwarmintelligenz Physik und Informatik" bei google eingeben --> vorallem Bachelorarbeiten und Diplomarbeiten als Ergebnisse
%Begriffe "intitle:Schwarmintelligenz" und "filetype_pdf intitle:Schwarmintelligenz" bei google eingeben
%google Scholar verwenden
%Suchen auf Englisch
%Begriffe "swarm intelligence" oder "collective intelligence" bei Google und Google Scholar eingeben; wenn englischer Name nicht bekannt ist, dann bei Wikipedia schauen und Sprache der Wahl anklicken
%Unterbegriffe "swarm intelligence literature overview" und "swarm intelligence thesis" bei google eingeben
%%Bücher
%zitiert von 672 bei Google Scholar
@book{engelbrecht2005fundamentals,
title={Fundamentals of computational swarm intelligence},
author={Engelbrecht, A.P.},
year={2005},
publisher={Wiley Chichester,, UK}
}
%zitiert durch 84 bei Google Scholar
%alle Angaben beim Eintrag vollständig, bis auf die empfehlenswerte Angabe issue/number
@article{garnier2007biological,
title={The biological principles of swarm intelligence},
author={Garnier, S. and Gautrais, J. and Theraulaz, G.},
journal={Swarm Intelligence},
volume={1},
pages={3--31},
year={2007}
}
%zitiert von 157 bei Google Scholar
@article{wolpert1999introduction,
title={An introduction to collective intelligence},
author={Wolpert, D.H. and Tumer, K.},
journal={Arxiv preprint cs/9908014},
year={1999}
}
%Internetartikel über Guttenberg und die "Macht der Masse" --> könnte als einführendes Beispiel in der Einleitung verwendet werden; \usepackage{url} im Header laden, damit die URL richtig geladen wird --> stellt dann den Befehl \url{hier Addy eingeben} bei Latex bereit
%alle Angaben beim Eintrag vollständig
@online{GuttenPlagWiki,
author={Matthias Kremp},
title={Im Netz der Plagiate-Jäger},
url={http://www.spiegel.de/netzwelt/web/0,1518,746582,00.html},
year={2011},
urlddate={26.11.2011}
}
% Koriphaen:
% ==============
% Gerardo Beni hat zusammen mit Jin Wang den Begriff "swarm intelligence" im
% Zusammenhang mit Robotik erfunden
@article{beni1993swarm,
title={Swarm intelligence in cellular robotic systems},
author={Beni, G. and Wang, J.},
journal={Robots and Biological Systems: Towards a New Bionics?},
pages={703--712},
year={1993},
publisher={Springer}
}
% 4160 citations laut Google Scholar; Suchbegriff: swarm intelligence
@article{kennedy2006swarm,
author = {Kennedy, J.},
title = {Swarm intelligence},
journal = {Handbook of Nature-Inspired and Innovative Computing},
year = {2006},
pages = {187--219},
publisher = {Springer}
}
% 283 citations laut ACM; Suchbegriff: swarm intelligence
@book{Eiben:2003:IEC:954563,
title = {Introduction to Evolutionary Computing},
publisher = {SpringerVerlag},
year = {2003},
author = {Eiben, Agoston E. and Smith, J. E.},
isbn = {3540401849}
}
% 605 citations laut ACM; meistzitiertes Buch zum Suchbegriff: swarm intelligence
@book{Bonabeau:1999:SIN:328320,
title = {Swarm intelligence: from natural to artificial systems},
publisher = {Oxford University Press, Inc.},
year = {1999},
author = {Bonabeau, Eric and Dorigo, Marco and Theraulaz, Guy},
address = {New York, NY, USA},
isbn = {0-19-513159-2}
}
@inproceedings{Rahmat-Samii2011a,
author = {Rahmat-Samii, Y. },
title = {Let swarms of bees optimize your future communication antennas},
booktitle = {Proc. IEEE Radio and Wireless Symp. (RWS)},
year = {2011},
doi = {10.1109/RWS.2011.5725518},
}
@article{Jin2010,
author = {Nanbo Jin and Rahmat-Samii, Y. },
title = {Hybrid Real-Binary Particle Swarm Optimization (HPSO) in Engineering Electromagnetics},
journal = IEEE_J_AP,
year = {2010},
volume = {58},
pages = {3786--3794},
number = {12},
doi = {10.1109/TAP.2010.2078477},
},
@inproceedings{Djuric2010e,
author = {Djuric, Petar M. },
title = {From nature to methods and back to nature},
booktitle = {Proc. Int Security and Cryptography (SECRYPT) Conf},
year = {2010},
abstract = {A fundamental challenge in today's arena of complex systems is the
design and development of accurate and robust signal processing methods.
These methods should be capable to adapt quickly to unexpected changes
in the data and operate under minimal model assumptions. Systems
in Nature also do signal processing and often do it optimally. Therefore,
it makes much sense to understand what Nature does and try to mimic
it and do even better. In return, the results of better signal processing
methods may lead to new advancements in science and technology and
in understanding Nature. In this presentation methods for signal
processing that borrow concepts and principles found in Nature are
addressed including ant <span class='snippet'>optimization</span>,
<span class='snippet'>swarm</span> intelligence and genetic algorithms.
However, the emphasis of the presentation is on Monte Carlo-based
methods, and in particular, methods related to <span class='snippet'>particle</span>
filtering, cost-reference <span class='snippet'>particle</span> filtering,
and population Monte Carlo. In the past decade and a half, Monte
Carlo-based methods have gained considerable popularity in dealing
<span class='snippet'>with</span> nonlinear and/or non-Gaussian systems.
The three groups of methods share the feature that they explore spaces
of unknowns using <span class='snippet'>particles</span> and weights
(costs) assigned to the <span class='snippet'>particles</span>. In
most versions of these methods, <span class='snippet'>particles</span>
move independently and in accordance <span class='snippet'>with</span>
the dynamics of the assumed model of the states. Interactions among
<span class='snippet'>particles</span> only occur through the process
of resampling rather than through local interactions as is common
in physical and biological systems. Such interactions can improve
the performance of the methods and can allow for coping <span class='snippet'>with</span>
more challenging problems <span class='snippet'>with</span> better
efficiency and accuracy. We show how we apply these methods to problems
in <span class='snippet'>engineering</span>, economics, and biology.},
},
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% @keyword: "swarm intelligence"
% @cited: 4160
% @topic: overview
% @via: scholar.google.de
% @restrictions: commercial only
% @relevance: high
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@incollection{kennedy_swarm_2011,
address = {Boston},
title = {Swarm Intelligence},
isbn = {0-387-40532-1},
url = {http://www.springerlink.com/content/q528q1743224q233/},
booktitle = {Handbook of {Nature-Inspired} and Innovative Computing},
publisher = {Kluwer Academic Publishers},
author = {Kennedy, James},
editor = {Zomaya, Albert Y.},
month = nov,
year = {2011},
pages = {187--219}
},
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% @keyword: "swarm intelligence" (year restriction to 2008)
% @via: scholar.google.de
% @cited: 52
% @topic: algorithn
% @relevance: medium
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@article{karaboga_survey:_2009,
title = {A survey: algorithms simulating bee swarm intelligence},
volume = {31},
issn = {0269-2821, 1573-7462},
shorttitle = {A survey},
url = {http://www.springerlink.com/content/500886349544k37u/},
doi = {10.1007/s10462-009-9127-4},
journal = {Artificial Intelligence Review},
author = {Karaboga, Dervis and Akay, Bahriye},
month = oct,
year = {2009},
pages = {61--85}
},
% -----------------------------------------------------------
% eher unwichtige Titel
% -----------------------------------------------------------
@article{Chen2010,
author = {An-Pin Chen and Yu-Chia Hsu},
title = {Dynamic Physical Behavior Analysis for Financial Trading Decision
Support [Application Notes]},
journal = IEEE_M_CIM,
year = {2010},
volume = {5},
pages = {19--23},
number = {4},
doi = {10.1109/MCI.2010.938366},
}
@inproceedings{Wu2009,
author = {Liu Wu and Liu Yi and Gu Xue-qin and Wang Deng-hai},
title = {Optimum Distribution of Aseismic Engineering Investment for Gas Pipeline Network System Based on Improved Particle Swarm Algorithm},
booktitle = {Proc. Second Int. Conf. Intelligent Computation Technology and Automation ICICTA '09},
year = {2009},
volume = {3},
pages = {249--252},
doi = {10.1109/ICICTA.2009.527},
},
@inproceedings{Zeng2009,
author = {Junwei Zeng and Li Wang and Tingliang Wang and Wenzhuo Fan and Hui Gao},
title = {Particle swarm optimization-based machine arrangement for filling construction of rock-fill dams},
booktitle = {Proc. IEEE Int. Conf. Industrial Engineering and Engineering Management IEEM 2009},
year = {2009},
pages = {1772--1775},
doi = {10.1109/IEEM.2009.5373163},
},
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% @keyword: "swarm intelligence survey"
% @cited: 52
% @via: scholar.google.de
% @topic: data mining
% @relevance: medium
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@article{martens_editorial_2010,
title = {Editorial survey: swarm intelligence for data mining},
volume = {82},
issn = {0885-6125, 1573-0565},
shorttitle = {Editorial survey},
url = {http://www.springerlink.com/content/rmg323605m2uu817/},
doi = {10.1007/s10994-010-5216-5},
journal = {Machine Learning},
author = {Martens, David and Baesens, Bart and Fawcett, Tom},
month = sep,
year = {2010},
pages = {1--42}
},
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% @keyword: "swarm OR collective intelligence visual detection"
% @cited: 14
% @topic: computer vision
% @via: scholar.google.de
% @relevance: high (preferred)
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@inproceedings{owechko_cognitive_2005,
title = {Cognitive swarms for rapid detection of objects and associations in visual imagery},
isbn = {0-7803-8916-6},
doi = {10.1109/SIS.2005.1501656},
abstract = {We have developed a new optimization-based framework for computer vision that combines ideas from particle swarm optimization {(PSO)} and statistical pattern recognition to rapidly and accurately detect and classify objects in visual imagery. Swarm intelligence is used to locate objects by optimizing the classification confidence level. We have used our cognitive swarm framework to rapidly detect people, ground vehicles, and boats, and to recognize behaviors based on object associations, such as people exiting and entering vehicles, for applications in security, surveillance, target recognition, and automotive active safety.},
booktitle = {Proceedings 2005 {IEEE} Swarm Intelligence Symposium, 2005. {SIS} 2005},
publisher = {{IEEE}},
author = {Owechko, Y. and Medasani, S.},
month = jun,
year = {2005},
keywords = {Boats, cognition, cognitive swarms, computer vision, image classification, Land vehicles, object classification, object detection, particle swarm optimisation, Particle swarm optimization, Pattern recognition, Road vehicles, statistical analysis, statistical pattern recognition, Swarm intelligence, Target recognition, Vehicle detection, Vehicle safety, visual imagery},
pages = {420-- 423}
},
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% @keyword: "swarm OR collective intelligence ad hoc network"
% @cited: 14
% @topic: network/routing
% @via: scholar.google.de
% @relevance: high (preferred)
% @note: looks very interresting; long paper; (nice pictures;)
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@article{shen_ad_2005,
title = {Ad hoc multicast routing algorithm with swarm intelligence},
volume = {10},
issn = {{1383-469X}},
url = {http://dx.doi.org/10.1145/1046430.1046435},
doi = {10.1145/1046430.1046435},
number = {1-2},
journal = {Mob. Netw. Appl.},
author = {Shen, {Chien-Chung} and Jaikaeo, Chaiporn},
month = feb,
year = {2005},
keywords = {ad hoc networks, multicast routing, Swarm intelligence},
pages = {47–59}
},
@ARTICLE{bib:pso_wsn_kulkarni,
author = {Kulkarni, R.V. and Venayagamoorthy, G.K.},
title = {Particle Swarm Optimization in Wireless-Sensor Networks: A Brief Survey},
journal = {Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on},
year = {2011},
volume = {41},
pages = {262 -267},
number = {2},
month = {march},
doi = {10.1109/TSMCC.2010.2054080},
}
@INPROCEEDINGS{bib:pso_energy_wsn_latiff,
author = {Latiff, N.M.A. and Tsimenidis, C.C. and Sharif, B.S.},
title = {Energy-Aware Clustering for Wireless Sensor Networks using Particle Swarm Optimization},
booktitle = {Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on},
year = {2007},
pages = {1--5},
month = {sept.},
doi = {10.1109/PIMRC.2007.4394521},
}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% @keyword: "swarm intelligence robotics"
% @cited: 113
% @topic: robotics
% @via: scholar.google.de
% @relevance: medium
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@incollection{ahin_swarm_2005,
address = {Berlin, Heidelberg},
title = {From Swarm Intelligence to Swarm Robotics},
volume = {3342},
isbn = {978-3-540-24296-3, 978-3-540-30552-1},
url = {http://www.springerlink.com/content/xn02ymel1b22rjp8/},
booktitle = {Swarm Robotics},
publisher = {Springer Berlin Heidelberg},
author = {Beni, Gerardo},
editor = {Şahin, Erol and Spears, William M.},
year = {2005},
pages = {1--9}
},
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% @keyword: ""swarm intelligence" routing"
% @cited: 88
% @topic: network/routing
% @via: scholar.google.de
% @relevance: high
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@inproceedings{kassabalidis_swarm_2001,
title = {Swarm intelligence for routing in communication networks},
volume = {6},
isbn = {0-7803-7206-9},
doi = {10.1109/GLOCOM.2001.966355},
booktitle = {{IEEE} Global Telecommunications Conference, 2001. {GLOBECOM} '01},
publisher = {{IEEE}},
author = {Kassabalidis, I. and {El-Sharkawi}, M. A and Marks, R. J. and Arabshahi, P. and Gray, A. A},
year = {2001},
pages = {3613--3617 vol.6}
},
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% @keyword: ""collective intelligence" routing"
% @cited: 87
% @topic: network/routing
% @via: scholar.google.de
% @relevance: high (preferred)
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@article{wolpert_using_1999,
title = {Using Collective Intelligence to Route Internet Traffic},
url = {http://arxiv.org/abs/cs/9905004},
journal = {{arXiv:cs/9905004}},
author = {Wolpert, David H and Tumer, Kagan and Frank, Jeremy},
month = may,
year = {1999},
},
% Prozessorientirtes Optimieren
@article{springerlink:10.1007/s11721-011-0061-0,
author = {Pellegrini, Paola and Stützle, Thomas and Birattari, Mauro},
affiliation = {IRIDIA, CoDE, Université Libre de Bruxelles (ULB), Brussels, Belgium},
title = {A critical analysis of parameter adaptation in ant colony optimization},
journal = {Swarm Intelligence},
publisher = {Springer New York},
pages = {1-26},
url = {http://dx.doi.org/10.1007/s11721-011-0061-0},
note = {10.1007/s11721-011-0061-0},
}
% technischer Ansatz
@article{springerlink:10.1007/s11721-011-0053-0,
author = {Ducatelle, Frederick and Di Caro, Gianni and Pinciroli, Carlo and Gambardella, Luca},
title = {Self-organized cooperation between robotic swarms},
journal = {Swarm Intelligence},
publisher = {Springer New York},
pages = {73-96},
volume = {5},
issue = {2},
url = {http://dx.doi.org/10.1007/s11721-011-0053-0},
year = {2011}
}
% References of face detection
@article{mobahi2006swarm,
title={Swarm contours: A fast self-organization approach for snake initialization},
author={Mobahi, H. and Ahmadabadi, M.N. and Araabi, B.N.},
journal={Complexity},
volume={12},
number={1},
pages={41--52},
year={2006},
publisher={Wiley Online Library}
},
% from springer journal "swarm intelligence" wahrscheinlichkeitsüberprüfung
@article{springerlink:10.1007/s11721-009-0037-5,
author = {El-Abd, Mohammed and Kamel, Mohamed},
title = {A cooperative particle swarm optimizer with migration of heterogeneous probabilistic models},
journal = {Swarm Intelligence},
publisher = {Springer New York},
pages = {57-89},
volume = {4},
issue = {1},
url = {http://dx.doi.org/10.1007/s11721-009-0037-5},
year = {2010}
}
% physical application
@INPROCEEDINGS{5760115,
author={Affijulla, S. and Chauhan, S.},
booktitle={Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on},
title={Swarm intelligence solution to large scale thermal power plant Load Dispatch},
year={2011},
month={march},
volume={},
number={},
pages={196 -199},
doi={10.1109/ICETECT.2011.5760115},
ISSN={},
},
% Datenbanksuche, Swarm Intelligence
@inproceedings{sun2004global,
title={A global search strategy of quantum-behaved particle swarm optimization},
author={Sun, J. and Xu, W. and Feng, B.},
booktitle={Cybernetics and Intelligent Systems, 2004 IEEE Conference on},
volume={1},
pages={111--116},
year={2004},
organization={IEEE}
},
% quantum-behave particle swarm optimization
@article{du2010improved,
title={Improved Quantum Particle Swarm Optimization by Bloch Sphere},
author={Du, Y. and Duan, H. and Liao, R. and Li, X.},
journal={Advances in Swarm Intelligence},
pages={135--143},
year={2010},
publisher={Springer}
},
% swarm intelligence, quantum
@inproceedings{affijulla2011swarm,
title={Swarm intelligence solution to large scale thermal power plant Load Dispatch},
author={Affijulla, S. and Chauhan, S.},
booktitle={Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on},
pages={196--199},
year={2011},
organization={IEEE}
},
% swarm intelligence, power plant; 25 zitationen
@article{coelho2008solving,
title={Solving economic load dispatch problems in power systems using chaotic and Gaussian particle swarm optimization approaches},
author={Coelho, L.S. and Lee, C.S.},
journal={International Journal of Electrical Power \& Energy Systems},
volume={30},
number={5},
pages={297--307},
year={2008},
publisher={Elsevier}
},
% swarm intelligence, load dispatch; 62 zitationen
@inproceedings{el2001swarm,
title={Swarm intelligence for hybrid cost dispatch problem},
author={El-Gallad, AI and El-Hawary, M. and Sallam, AA and Kalas, A.},
booktitle={Electrical and Computer Engineering, 2001. Canadian Conference on},
volume={2},
pages={753--757},
year={2001},
organization={IEEE}
},
% swarm intelligence, load dispatch; 22 zitationen
@article{selvakumar2007new,
title={A new particle swarm optimization solution to nonconvex economic dispatch problems},
author={Selvakumar, A.I. and Thanushkodi, K.},
journal={Power Systems, IEEE Transactions on},
volume={22},
number={1},
pages={42--51},
year={2007},
publisher={IEEE}
}