Metaheuristics in Modeling Humanoid Robots: A Literature Review

Cengiz Kahraman; Eda Bolturk

doi:10.1007/978-3-030-67163-1_5

Metaheuristics in Modeling Humanoid Robots: A Literature Review

Cengiz Kahraman^*
, Eda Bolturk

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Bölüm › bilirkişi

Özet

Metaheuristics are designed to find, generate, or select a heuristic that can provide a sufficiently good solution to a complex optimization problem, especially with incomplete, imperfect, vague and imprecise information. Fuzzy set theory is an excellent tool to capture this kind of information. Metaheuristics can be used as important building blocks in humanoid robots together with fuzzy set theory. In this chapter, we present a literature review on metaheuristics used in modeling robots.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Studies in Systems, Decision and Control
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	135-147
Sayfa sayısı	13
DOI'lar	https://doi.org/10.1007/978-3-030-67163-1_5
Yayın durumu	Yayınlandı - 2021

Yayın serisi

Adı	Studies in Systems, Decision and Control
Hacim	344
ISSN (Basılı)	2198-4182
ISSN (Elektronik)	2198-4190

Bibliyografik not

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-030-67163-1_5

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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keywords = "Ant colony optimization, Artificial bee colony, Humanoid robots, Literature review, Metaheuristics, Particle swarm optimization",

author = "Cengiz Kahraman and Eda Bolturk",

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KW - Particle swarm optimization

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BT - Studies in Systems, Decision and Control

PB - Springer Science and Business Media Deutschland GmbH

ER -

Metaheuristics in Modeling Humanoid Robots: A Literature Review

Özet

Yayın serisi

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap