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KŮDELA, J.
Originální název
Chance-Constrained Optimization Formulation for Ship Conceptual Design: A Comparison of Metaheuristic Algorithms
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
This paper presents a new chance-constrained optimization (CCO) formulation for the bulk carrier conceptual design. The CCO problem is modeled through the scenario design approach. We conducted extensive numerical experiments comparing the convergence of both canonical and state-of-the-art metaheuristic algorithms on the original and CCO formulations and showed that the CCO formulation is substantially more difficult to solve. The two best-performing methods were both found to be differential evolution-based algorithms. We then provide an analysis of the resulting solutions in terms of the dependence of the distribution functions of the unit transportation costs and annual cargo capacity of the ship design on the probability of violating the chance constraints.
Klíčová slova
chance-constrained optimization; ship conceptual design; metaheuristics; evolutionary computation; numerical optimization
Autoři
Vydáno
3. 11. 2023
Nakladatel
MDPI
Místo
BASEL
ISSN
2073-431X
Periodikum
Computers
Ročník
12
Číslo
11
Stát
Švýcarská konfederace
Strany počet
17
URL
https://www.mdpi.com/2073-431X/12/11/225
Plný text v Digitální knihovně
http://hdl.handle.net/11012/245110
BibTex
@article{BUT186908, author="Jakub {Kůdela}", title="Chance-Constrained Optimization Formulation for Ship Conceptual Design: A Comparison of Metaheuristic Algorithms", journal="Computers", year="2023", volume="12", number="11", pages="17", doi="10.3390/computers12110225", issn="2073-431X", url="https://www.mdpi.com/2073-431X/12/11/225" }