On solving computationally expensive multiobjective optimization problems with interactive methods
Julkaisija
University of JyväskyläISBN
978-951-39-5852-7ISSN Hae Julkaisufoorumista
1456-5390Julkaisuun sisältyy osajulkaisuja
- Article I: Timo Laukkanen · Tor-Martin Tveit · Vesa Ojalehto · Kaisa Miettinen · Carl-Johan Fogelholm. An Interactive Multi-objective Approach to Heat Exchanger Network Synthesis. Computers & Chemical Engineering, 34(6), 2010. DOI: 10.1016/j.compchemeng.2010.01.002
- Article II: Vesa Ojalehto · Kaisa Miettinen · Timo Laukkanen. Implementation Aspects of Interactive Multiobjective Optimization for Modeling Environments: The Case of GAMS-NIMBUS. Computational Optimization and Applications, 58(3), 2014. DOI: 10.1007/s10589-014-9639-y
- Article III: Markus Hartikainen · Vesa Ojalehto · Kristian Sahlstedt. Applying Approximation Method PAINT and Interactive Method NIMBUS to Multiobjective Optimization of Operating a Wastewater Treatment Plant, 47 (3), 2015. Engineering Optimization, to appear, DOI:10.1080/0305215X.2014.892593.
- Article IV: Karthik Sindhya · Vesa Ojalehto · Jouni Savolainen · Kaisa Miettinen · Hannu Niemistö. Coupling Dynamic Simulation and Interactive Multiobjective Optimization for Complex Problems: An APROS-NIMBUS Case Study. Expert Systems with Applications, 41(5), 2014. DOI: 10.1016/j.eswa.2013.10.002
- Reports of the Department of Mathematical Information Technology
- Article V: Vesa Ojalehto · Dmitry Podkopaev · Kaisa Miettinen. Agent-based Interactive Approach for Computationally Demanding Multiobjective Optimization Problems. Reports of the Department of Mathematical Information Technology, Series B, Scientific Computing, No. B 6/2014, University of Jyväskylä, Jyväskylä, 2014.
Asiasanat
Metadata
Näytä kaikki kuvailutiedotKokoelmat
- Väitöskirjat [3546]
Lisenssi
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
Handling expensive multiobjective optimization problems with evolutionary algorithms
Chugh, Tinkle (University of Jyväskylä, 2017)Multiobjective optimization problems (MOPs) with a large number of conflicting objectives are often encountered in industry. Moreover, these problem typically involve expensive evaluations (e.g. time consuming simulations ... -
Approximation method for computationally expensive nonconvex multiobjective optimization problems
Haanpää, Tomi (University of Jyväskylä, 2012) -
A Visualization Technique for Accessing Solution Pool in Interactive Methods of Multiobjective Optimization
Filatovas, Ernestas; Podkopaev, Dmitry; Kurasova, Olga (Universitatea Agora, 2015)Interactive methods of multiobjective optimization repetitively derive Pareto optimal solutions based on decision maker's preference information and present the obtained solutions for his/her consideration. Some interactive ... -
A Performance Indicator for Interactive Evolutionary Multiobjective Optimization Methods
Aghaei Pour, Pouya; Bandaru, Sunith; Afsar, Bekir; Emmerich, Michael; Miettinen, Kaisa (IEEE, 2024)In recent years, interactive evolutionary multiobjective optimization methods have been getting more and more attention. In these methods, a decision maker, who is a domain expert, is iteratively involved in the solution ... -
A survey on handling computationally expensive multiobjective optimization problems with evolutionary algorithms
Chugh, Tinkle; Sindhya, Karthik; Hakanen, Jussi; Miettinen, Kaisa (Springer, 2019)Evolutionary algorithms are widely used for solving multiobjective optimization problems but are often criticized because of a large number of function evaluations needed. Approximations, especially function approximations, ...
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.