Hybrid evolutionary multi-objective optimization with enhanced convergence and diversity
Published inJyväskylä studies in computing
PublisherUniversity of Jyväskylä
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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 ...
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 ...
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 ...
Evolutionary design optimization with Nash games and hybridized mesh/meshless methods in computational fluid dynamics Wang, Hong (University of Jyväskylä, 2012)
Multiobjective shape design in a ventilation system with a preference-driven surrogate-assisted evolutionary algorithm Chugh, Tinkle; Kratky, Tomas; Miettinen, Kaisa; Jin, Yaochu; Makkonen, Pekka (ACM, 2019)We formulate and solve a real-world shape design optimization problem of an air intake ventilation system in a tractor cabin by using a preference-based surrogate-assisted evolutionary multiobjective optimization algorithm. ...