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Including Users Preferences in the Decision Making for Discrete Many Objective Optimization Problems

Nancy Pérez, Oliver Cuate, Oliver Schütze, Alejandro Alvarado
2016 Journal of Computacion y Sistemas  
Visualization in the multiple objective decision-making framework. In Multiobjective optimization. Springer, pp. 195-212. 32. Kumar, V. S., Thansekhar, M., Saravanan, R., & Amali, S. M. J. (2014).  ...  Interactive moea/d for multi-objective decision making. Proceedings of the 13th annual conference on Genetic and evolutionary computation, ACM, pp. 721-728. donde t > 0 es un tamaño de paso dado.  ... 
doi:10.13053/cys-20-4-2501 fatcat:klgjnuqgszhijgi34umsy7x7im

A Combinatorial Optimization Ranking Algorithm for Reasonable Decision Making

Ivan Mustakerov, Daniela Borissova
2013 Comptes Rendus de l'Academie Bulgare des Sciences / Proceedings of the Bulgarian Academy of Sciences  
This approach could be used to support the reasonable choice making in many real life problems when a variety of alternatives and conflicting user requirements exist.  ...  The algorithm is numerically illustrated and its applicability is demonstrated on the example of real mobile phones data for three different scenarios of user preferences.  ...  It is realized in a device ranking algorithm to give the user different strategies in choice decision making. 2. Combinatorial optimization model.  ... 
doi:10.7546/cr-2013-66-1-13101331-13 fatcat:d7g4nbmy65cbfpwcruybm7z55i

Learning in Multiobjective Optimization (Dagstuhl Seminar 12041)

Salvatore Greco, Joshua D. Knowles, Kaisa Miettinen, Eckart Zitzler, Marc Herbstritt
2012 Dagstuhl Reports  
The purpose of the seminar was to bring together researchers from the two main communities studying multiobjective optimization, Multiple Criteria Decision Making and Evolutionary Multiobjective Optimization  ...  The outcome was a deeper, more integrated understanding of the whole problem-solving process in multiobjective optimization from the viewpoint of learning, and several concrete research projects directly  ...  Acknowledgments Many thanks to the Dagstuhl office and its helpful and patient staff; huge thanks to the organizers of the previous seminars in the series for setting us up for success; and thanks to all  ... 
doi:10.4230/dagrep.2.1.50 dblp:journals/dagstuhl-reports/GrecoKMZ12 fatcat:yy4ks7xcgbdcbisw4ky2pxvvvi

Innovative Design and Analysis of Production Systems by Multi-objective Optimization and Data Mining

Amos H.C. Ng, Sunith Bandaru, Marcus Frantzén
2016 Procedia CIRP  
This paper presents an innovative approach for the design and analysis of production systems using multi-objective optimization and data mining.  ...  This paper addresses the specific challenges posed by the design of discrete production systems for this integrated optimization and data mining approach and then outline a new interactive data mining  ...  Acknowledgements This work is partially financed by Knowledge Foundation (KKS), Sweden, through the IDSS project and AB Volvo through their Academic Preferred Partnership in Virtual Manufacturing.  ... 
doi:10.1016/j.procir.2016.04.159 fatcat:czoe67cv4raappplelyjyxtgrq

Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead

Jyrki Wallenius, James S. Dyer, Peter C. Fishburn, Ralph E. Steuer, Stanley Zionts, Kalyanmoy Deb
2008 Management science  
The areas of multiple criteria decision making (MCDM) and multiattribute utility theory (MAUT) continue to be active areas of management science research and application.  ...  This paper extends the history of these areas and discusses topics we believe to be important for the future of these fields.  ...  Acknowledgments The authors thank Craig W.  ... 
doi:10.1287/mnsc.1070.0838 fatcat:hnkztnrj7vhcrh5svystiamuce

Multiobjective Optimization Software [chapter]

Silvia Poles, Mariana Vassileva, Daisuke Sasaki
2008 Lecture Notes in Computer Science  
This chapter provides a description of multiobjective optimization software with a general overview of selected few available tools developed in the last decade.  ...  More precisely, this chapter is focused on the tools and features that advisable multiobjective optimization software should contain.  ...  Moreover, the GUI should be suitable for introducing decision maker's preferences in order to solve multiobjective decision making problems with an intelligent guidance.  ... 
doi:10.1007/978-3-540-88908-3_12 fatcat:rbe7pipqd5bx3hh6waebbixtdi

A Joint Optimization Model considering the Product User's Risk Preference for Supply System Disruption

Yang Song, Yan-Qiu Liu, Qi Sun, Ming-Fei Chen, Hai-Tao Xu, Mohammad Fattahi
2021 Mathematical Problems in Engineering  
in attempting to optimize economic benefits for the long term.  ...  To improve the stability of cooperation between manufacturers and users, the behavior decision-making method urges manufacturers to consider product users' supply disruption risk preferences (PUSDRPs)  ...  Manufacturers face the antinomy problem when making inventory decisions.  ... 
doi:10.1155/2021/5081753 fatcat:apquyulzwnftjmat7ao77s4bee

A spreadsheet-like user interface for combinatorial multi-objective optimization

Derek Rayside, H.-Christian Estler
2009 Proceedings of the 2009 Conference of the Center for Advanced Studies on Collaborative Research - CASCON '09  
Moolloy makes multi-objective optimization accessible to a larger set of potential users.  ...  Current user interfaces for multi-objective optimization tend to either require some programming experience to use, or are narrowly focused on specific problems.  ...  Derek worked as an intern in the IBM Toronto Lab while studying for his undergraduate degree. Christian Estler is a masters student at the University of Paderborn.  ... 
doi:10.1145/1723028.1723037 dblp:conf/cascon/RaysideE09 fatcat:lhe5tlefiza55btmksrngeoy7q

Management of Attainable Tradeoffs between Conflicting Goals

Marek Makowski
2009 Journal of Computers  
The paper deals with recent developments in applied modeling that have been motivated by the requirements for model-based support of solving complex problems.  ...  It starts with presenting novel modeling technology and integrated methods of integrated model analysis aimed at supporting decisionmakers in diversified ways of analysis of the underlying decision problem  ...  Many discussions and joint activities on various modeling issues have contributed over many years to the development of the modeling methodology, novel methods for multicriteria analysis, and for integrated  ... 
doi:10.4304/jcp.4.10.1033-1042 fatcat:u3igxjv6jzegnbo7w3kad3k3uq

Navigation in multiobjective optimization methods

Richard Allmendinger, Matthias Ehrgott, Xavier Gandibleux, Martin Josef Geiger, Kathrin Klamroth, Mariano Luque
2016 Journal of Multi-Criteria Decision Analysis  
In navigation methods, the decision maker interactively learns about the problem, while the decision support system learns about the preferences of the decision maker.  ...  to identify the mostpreferred solution among the Pareto set for a multiobjective optimization problem.  ...  Acknowledgement This paper is a product of discussions initiated in the Dagstuhl Seminar 12041: Learning in Multiobjective Optimization. The authors acknowledge gratefully Prof.  ... 
doi:10.1002/mcda.1599 fatcat:4tvr3dj5xfdxhpaat7apmhkh4q

River Basin Management: What do we Really Want?

Kurt Fedra
2015 Environmental Processes  
This yields the metric for the degree to which various objectives are met.  ...  The dominant objective is to achieve Bgood ecological and chemical status^for all Community waters by 2015.  ...  performance exists, leading to a Discrete Multi-criteria Optimization problem).  ... 
doi:10.1007/s40710-015-0084-4 fatcat:blkcczqfsfgxzesxry4ctls4wu

The effect of user interaction mechanisms in multi-objective IGA

Alexandra Melike Brintrup, Hideyuki Takagi
2007 Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation - GECCO '07  
In this paper four mechanisms, fine and coarse grained fitness rating, linguistic evaluation and active user intervention are compared for use in the multi-objective IGA.  ...  The interaction mechanisms are tested on the ergonomic chair design problem. The active user intervention mechanism provided the best fitness convergence but resulted in the least diverse results.  ...  In this respect optimization using a multi-objective approach gives the framework an ideal base for compromise decision making when qualitative and quantitative views co-exist.  ... 
doi:10.1145/1274000.1274099 dblp:conf/gecco/BrintrupT07 fatcat:qhf3e2duirddtocme2ggiwkjlq

Quixote: Supporting Group Decisions Through the Web [chapter]

J. A. Rubio, D. Rios Insua, J. Rios, E. Fernandez
2005 Lecture Notes in Computer Science  
We describe a web-based architecture to support participation in group decision making. Emphasis is placed on security aspects related with our architecture, designed to enhance trust on the system.  ...  Acknowledgments Research supported by grants from MEC(TSI2004-06801-C04-01), the Decision Engineering Lab (URJC -DMR Consulting Foundation) and the ESF-TED program.  ...  The following system modules are included: Problem Structuring The system includes a module that allows the problem owner to build an influence diagram to structure the incumbent decision making problem  ... 
doi:10.1007/978-3-540-32257-3_21 fatcat:rphe36jfwvc7zigywf4wudgg54

Evaluating And Selecting Optimization Software Packages: A Framework For Business Applications

Waleed Abohamad, Amr Arisha
2010 Zenodo  
a best-fit optimization package for solving complex business problems.  ...  Owing the fact that optimization of business process is a crucial requirement to navigate, survive and even thrive in today-s volatile business environment, this paper presents a framework for selecting  ...  Meta-heuristics Statistical methods were successfully used in problems with discrete decision parameters.  ... 
doi:10.5281/zenodo.1332245 fatcat:pjihq5nujfb33lrmui632tnbda

Multiple Criteria Decision Making, Multiattribute Utility Theory: The Next Ten Years

James S. Dyer, Peter C. Fishburn, Ralph E. Steuer, Jyrki Wallenius, Stanley Zionts
1992 Management science  
Many problems in MCDM are formulated as multiple objective linear. integer, or nonlinear mathematical programming problems, and many of the procedures proposed for their solution are interactive.  ...  Important contributions include the t-efficiency research of Salukvadze ( 1975) and Podinovski and Noghin ( 1982) : methods for solving nonlinear multiple criteria optimization problems by discrete representation  ...  B., "Ambiguity Aversion and Ambiguity Content in Decision Making under Uncertainty," Anrl. Oper. RES., 19 ( 1989 of.llecisiireii~em. 1'01. I, Academic Press, New Foiir~n'rrfioii.~ York. 1971 .  ... 
doi:10.1287/mnsc.38.5.645 fatcat:rvyocva655fildedatukgz3zve
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