Hybrid evolutionary multi-objective optimization with enhanced convergence and diversity
Julkaisija
University of JyväskyläISBN
978-951-39-4414-8ISSN Hae Julkaisufoorumista
1456-5390Asiasanat
Metadata
Näytä kaikki kuvailutiedotKokoelmat
- Väitöskirjat [3495]
Lisenssi
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
A New Hybrid Mutation Operator for Multiobjective Optimization with Differential Evolution
Sindhya, Karthik; Ruuska, Sauli; Haanpää, Tomi; Miettinen, Kaisa (Springer, 2011)Differential evolution has become one of the most widely used evolution- ary algorithms in multiobjective optimization. Its linear mutation operator is a sim- ple and powerful mechanism to generate trial vectors. However, ... -
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 ... -
DESDEO: The Modular and Open Source Framework for Interactive Multiobjective Optimization
Misitano, Giovanni; Saini, Bhupinder Singh; Afsar, Bekir; Shavazipour, Babooshka; Miettinen Kaisa (Institute of Electrical and Electronics Engineers (IEEE), 2021)Interactive multiobjective optimization methods incorporate preferences from a human decision maker in the optimization process iteratively. This allows the decision maker to focus on a subset of solutions, learn about the ... -
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 ... -
An interactive surrogate-based method for computationally expensive multiobjective optimisation
Tabatabaei, Mohammad; Hartikainen, Markus; Sindhya, Karthik; Hakanen, Jussi; Miettinen, Kaisa (Palgrave Macmillan Ltd., 2019)Many disciplines involve computationally expensive multiobjective optimisation problems. Surrogate-based methods are commonly used in the literature to alleviate the computational cost. In this paper, we develop an interactive ...
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.