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Tree-seed algorithm in solving real-life optimization problems

IOP Conference Series: Materials Science and Engineering · Kasım 2019

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Tree-seed algorithm in solving real-life optimization problems
IOP Conference Series: Materials Science and Engineering · 2019 SCOPUS
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Makale Bilgileri

DergiIOP Conference Series: Materials Science and Engineering
Yayın TarihiKasım 2019
Cilt / Sayfa675
Erişim🔓 Açık Erişim
Özet Tree-seed algorithm (TSA) is a nature-inspired and population-based algorithm for solving continuous optimization problems. The tree-seed relationship is the main motivation of this algorithm. TSA has only two peculiar parameters which are the total number of trees in the stand (pop) and the controller of the seed production (search tendency). Although many problems have been solved in the literature by TSA which is the successful optimizer for low dimensional unconstrained continuous problems, real-life problems have not been addressed yet. In this study, six continuous unconstrained real-life optimization problems (gas transmission compressor design, optimal capacity of gas production facility, gear train design, frequency modulation sounds parameter identification, the spread spectrum radar polyphase code design with 10 decision variables, the spread spectrum radar polyphase code design with 20 decision variables) have been solved. It is seen that choosing the number of the population as 50 and the value of search tendency as 0.1 is appropriate according to experimental results for these problems.

Yazarlar (4)

1
Mehmet Akif Şahman
2
Ahmet Cevahir Cinar
3
Ismail Saritas
4
Ali Yasar

Anahtar Kelimeler

Optimization Real-Life Problems Tree-Seed Algorithm Unconstrained Continuous Problems

Kurumlar

Konya Division
Konya Turkey
Selçuk Üniversitesi
Selçuklu Turkey

Metrikler

13
Atıf
4
Yazar
4
Anahtar Kelime

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