Inverse Design with Multi-Objective Topology Optimization Based on Binary Rank-1 Perturbations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00384152" target="_blank" >RIV/68407700:21230/25:00384152 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26220/26:0197977

Výsledek na webu

<a href="https://doi.org/10.23919/EuCAP63536.2025.10999333" target="_blank" >https://doi.org/10.23919/EuCAP63536.2025.10999333</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.23919/EuCAP63536.2025.10999333" target="_blank" >10.23919/EuCAP63536.2025.10999333</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Inverse Design with Multi-Objective Topology Optimization Based on Binary Rank-1 Perturbations

Popis výsledku v původním jazyce

This contribution shows the extension of the state-of-the-art single-objective binary topology optimization technique to a multi-objective framework. This achievement significantly expands the applicability of the optimization routine since only an inefficient scalarization technique was available before. We utilize the adaptive weighting method, which forces locally optimal solutions to move as close to the Pareto front as possible. The method's efficacy is high, solving multi-objective problems at a computational cost comparable to that of the original algorithm, which solved single-objective problems. All the advantages and features of the original method are preserved. An example is presented in this paper to demonstrate the superb performance of the algorithm.

Název v anglickém jazyce

Inverse Design with Multi-Objective Topology Optimization Based on Binary Rank-1 Perturbations

Popis výsledku anglicky

This contribution shows the extension of the state-of-the-art single-objective binary topology optimization technique to a multi-objective framework. This achievement significantly expands the applicability of the optimization routine since only an inefficient scalarization technique was available before. We utilize the adaptive weighting method, which forces locally optimal solutions to move as close to the Pareto front as possible. The method's efficacy is high, solving multi-objective problems at a computational cost comparable to that of the original algorithm, which solved single-objective problems. All the advantages and features of the original method are preserved. An example is presented in this paper to demonstrate the superb performance of the algorithm.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/GM21-19025M" target="_blank" >GM21-19025M: Optimální návrh v elektromagnetismu založený na lokální perturbaci přesných modelů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název statě ve sborníku

2025 19th European Conference on Antennas and Propagation (EuCAP)

ISBN

978-88-31299-10-7

ISSN

2164-3342

e-ISSN

2164-3342

Počet stran výsledku

5

Strana od-do

1-5

Název nakladatele

IEEE

Místo vydání

Anchorage, Alaska

Místo konání akce

Stockholm

Datum konání akce

30. 3. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001507659900171