Distributed multi-objective optimization methods for shape design using evolutionary algorithms and game strategies
Julkaisija
University of JyväskyläISBN
978-951-39-4844-3ISSN Hae Julkaisufoorumista
1456-5390Asiasanat
Metadata
Näytä kaikki kuvailutiedotKokoelmat
- Väitöskirjat [3430]
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
Evolutionary design optimization with Nash games and hybridized mesh/meshless methods in computational fluid dynamics
Wang, Hong (University of Jyväskylä, 2012) -
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 ... -
Algorithmic issues in computational intelligence optimization : from design to implementation, from implementation to design
Caraffini, Fabio (University of Jyväskylä, 2016)The vertiginous technological growth of the last decades has generated a variety of powerful and complex systems. By embedding within modern hardware devices sophisticated software, they allow the solution of complicated ... -
On approaches for solving computationally expensive multiobjective optimization problems
Tabatabaei, Seyed Mohammad Mehdi (University of Jyväskylä, 2016)In this thesis, we consider solving computationally expensive multiobjective optimization problems that take into account the preferences of a decision maker (DM). The aim is to support the DM in identifying the most ... -
A New Paradigm in Interactive Evolutionary Multiobjective Optimization
Saini, Bhupinder Singh; Hakanen, Jussi; Miettinen, Kaisa (Springer, 2020)Over the years, scalarization functions have been used to solve multiobjective optimization problems by converting them to one or more single objective optimization problem(s). This study proposes a novel idea of solving ...
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.