Chance-Constrained Optimization Formulation for Ship Conceptual Design: A Comparison of Metaheuristic Algorithms

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F23%3APU150034" target="_blank" >RIV/00216305:26210/23:PU150034 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2073-431X/12/11/225" target="_blank" >https://www.mdpi.com/2073-431X/12/11/225</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/computers12110225" target="_blank" >10.3390/computers12110225</a>

Result language

angličtina

Original language name

Chance-Constrained Optimization Formulation for Ship Conceptual Design: A Comparison of Metaheuristic Algorithms

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Computers

ISSN

2073-431X

e-ISSN

—

Volume of the periodical

12

Issue of the periodical within the volume

11

Country of publishing house

CH - SWITZERLAND

Number of pages

17

Pages from-to

„“-„“

UT code for WoS article

001118340100001

EID of the result in the Scopus database

2-s2.0-85178293654