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ORCIDMCDM 2009: Nashville, TN, USA
- 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, MCDM 2009, Nashville, TN, USA, March 30 - April 2, 2009. IEEE 2009, ISBN 978-1-4244-2764-2
Multi-Criteria Decision Making in Sensor Networks
- Wei Chen, Heh Miao, Koichi Wada:
Autonomous market-based approach for resource allocation in a cluster-based sensor network. 1-8 - Saleh Zein-Sabatto, Vinayak Elangovan
, Wei Chen, Richard Mgaya:
Localization strategies for large-scale airborne deployed wireless sensors. 9-15 - Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy, Abhishek Thakur, Sanjay Kumar Madria:
Generalized neuron based secure media access control protocol for wireless sensor networks. 16-22 - Xiang Ye, Ganapathi Kamath, Lisa Ann Osadciw:
Using Bayesian inference for sensor management of air traffic control systems. 23-29 - Viswanath Avasarala, Tracy Mullen, David L. Hall, Sudheer Tumu:
An experimental study on agent learning for market-based sensor management. 30-37
Multi-Objective Metaheuristics and Applications I
- Yaochu Jin, Robin Gruna, Ingo Paenke, Bernhard Sendhoff:
Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations. 38-45 - Michael Mazurek, Slawomir Wesolkowski:
Fleet mix computation using evolutionary multiobjective optimization. 46-50 - Barry R. Secrest, Gary B. Lamont:
Multiobjective tuning of a multitarget tracking algorithm using an evolutionary algorithm. 51-57 - Dipankar Dasgupta, Germán Jairo Hernández, Andrés Romero, Deon Garrett, Aishwarya Kaushal, James Simien:
On the use of informed initialization and extreme solutions sub-population in multi-objective evolutionary algorithms. 58-65 - Antonio J. Nebro, Juan José Durillo, José García-Nieto, Carlos A. Coello Coello, Francisco Luna, Enrique Alba:
SMPSO: A new PSO-based metaheuristic for multi-objective optimization. 66-73
Multi-Objective Metaheuristics and Applications II
- Günter Rudolph, Mike Preuss:
A multiobjective approach for finding equivalent inverse images of Pareto-optimal objective vectors. 74-79 - Deon Garrett, Dipankar Dasgupta:
An empirical comparison of memetic algorithm strategies on the multiobjective quadratic assignment problem. 80-87 - Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi:
A unified model for evolutionary multi-objective optimization and its implementation in a general purpose software framework. 88-95 - Amitabha Mukerjee, Madan Mohan Dabbeeru:
Multi-objective functional analysis for product portfolio optimization. 96-103 - Hernán E. Aguirre, Kiyoshi Tanaka:
Adaptive ∈-ranking on MNK-Landscapes. 104-111
Decision Making Techniques
- Alexandre Zolotovitski:
Visualization of client service events statistics. 112-114 - Juan Tinguaro Rodríguez, Begoña Vitoriano, Javier Montero, Daniel Gómez:
Modelling bipolar multicriteria decision making. 115-117 - Christiono Utomo, Arazi Idrus, Madzlan Napiah, Mohd. Faris Khamidi:
Aggregation and Coalition Formation on Value-based Decision. 118-125 - Xiao Hu, Piero P. Bonissone, Raj Subbu:
Robust model selection decision-making using a fuzzy supervisory Approach. 126-132
Decision Making Techniques
- Amaury T. Brasil Filho, Plácido Rogério Pinheiro, André L. V. Coelho, Nathanael C. Costa:
Comparison of two prototype-based multicriteria classification methods. 133-140 - Yusuke Nojima, Hisao Ishibuchi:
Interactive genetic fuzzy rule selection through evolutionary multiobjective optimization with user preference. 141-148 - Ghadi Mahmoudi, Christian Müller-Schloer:
Semantic Multi-Criteria Decision Making SeMCDM. 149-156 - Manuel Chica, Oscar Cordón, Sergio Damas, Joaquín Bautista:
Integration of an EMO-based preference elicitation scheme into a multi-objective ACO algorithm for time and Space Assembly Line Balancing. 157-162
Tutorials
- Carlos A. Coello Coello:
Tutorial: Metaheuristics for multiobjective optimization. - Ponnuthurai Nagaratnam Suganthan:
Tutorial: Evolutionary programming with diversity enhancement and ensemble strategies. - Piero P. Bonissone:
Tutorial: An introduction to computational intelligence in Multi-Criteria Decision-Making: The intersection of search, preference tradeoff, and interaction visualization.
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