Enhanced Tree-seed Algorithm Solving Real-world Problems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F20%3AA21027CQ" target="_blank" >RIV/61988987:17310/20:A21027CQ - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9311593" target="_blank" >https://ieeexplore.ieee.org/document/9311593</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ISCMI51676.2020.9311593" target="_blank" >10.1109/ISCMI51676.2020.9311593</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Enhanced Tree-seed Algorithm Solving Real-world Problems

Popis výsledku v původním jazyce

In this paper, an enhanced variant of the efficient nature-inspired Tree-seed optimisation algorithm (TSA) is designed. The original TSA lacks memory of old good solutions and mechanism for rotated objective functions. Two new mechanisms are used to increase the efficiency of the original TS algorithm. At first, archive A for successful seeds is used to help unsuccessful trees (TSrA). Secondly, rotationally invariant Eigenvector transformation of seeds is employed to cope with rotated problems (TSrAeig). Newly proposed TS variants are applied on a set of 22 real-world optimisation problems from CEC 2011. These problems enable to evaluate methods properly for future using in real applications. Results achieved by TSrA and TSrAeig are compared with results of the original TSA algorithm. Newly proposed mechanisms increase the performance of the original TSA algorithm significantly.

Název v anglickém jazyce

Enhanced Tree-seed Algorithm Solving Real-world Problems

Popis výsledku anglicky

In this paper, an enhanced variant of the efficient nature-inspired Tree-seed optimisation algorithm (TSA) is designed. The original TSA lacks memory of old good solutions and mechanism for rotated objective functions. Two new mechanisms are used to increase the efficiency of the original TS algorithm. At first, archive A for successful seeds is used to help unsuccessful trees (TSrA). Secondly, rotationally invariant Eigenvector transformation of seeds is employed to cope with rotated problems (TSrAeig). Newly proposed TS variants are applied on a set of 22 real-world optimisation problems from CEC 2011. These problems enable to evaluate methods properly for future using in real applications. Results achieved by TSrA and TSrAeig are compared with results of the original TSA algorithm. Newly proposed mechanisms increase the performance of the original TSA algorithm significantly.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI)

ISBN

978-1-7281-7560-7

ISSN

2640-0154

e-ISSN

2640-0146

Počet stran výsledku

5

Strana od-do

12-16

Název nakladatele

IEEE

Místo vydání

Stockholm, Sweden

Místo konání akce

Stockholm, Sweden

Datum konání akce

13. 11. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—