Time-optical trajectory planning using a smart evolutionary algorithm with fuzzy inference system

Serkan Aydin; Hakan Temeltas

Time-optical trajectory planning using a smart evolutionary algorithm with fuzzy inference system

Serkan Aydin^*
, Hakan Temeltas

^*Bu çalışma için yazışmadan sorumlu yazar

Kontrol ve Otomasyon Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Konferansa katkı › Yazı › bilirkişi

5 Atıf (Scopus)

Özet

Time optical trajectories for mobile robot Nomad 200 is produced with a differential evolution-fuzzy inference system algorithm (DE-FIS). Shortest path is found by visibility graph method. This path is redefined to form a multi-constrained non-linear global optimization problem. This problem is solved by DE-FIS. FIS is used to learn the kinematics of the MR. Experiments are successfully implemented on Nomad 200.

Orijinal dil	İngilizce
Sayfalar	764-769
Sayfa sayısı	6
Yayın durumu	Yayınlandı - 2002
Etkinlik	Proceedings of the 2002 IEEE International Symposium on Intelligent Control - Vancouver, Canada Süre: 27 Eki 2002 → 30 Eki 2002

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	Proceedings of the 2002 IEEE International Symposium on Intelligent Control
Ülke/Bölge	Canada
Şehir	Vancouver
Periyot	27/10/02 → 30/10/02

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Time-optical trajectory planning using a smart evolutionary algorithm with fuzzy inference system",

abstract = "Time optical trajectories for mobile robot Nomad 200 is produced with a differential evolution-fuzzy inference system algorithm (DE-FIS). Shortest path is found by visibility graph method. This path is redefined to form a multi-constrained non-linear global optimization problem. This problem is solved by DE-FIS. FIS is used to learn the kinematics of the MR. Experiments are successfully implemented on Nomad 200.",

keywords = "Mobile robots, Optimization, Trajectory",

author = "Serkan Aydin and Hakan Temeltas",

year = "2002",

language = "English",

pages = "764--769",

note = "Proceedings of the 2002 IEEE International Symposium on Intelligent Control ; Conference date: 27-10-2002 Through 30-10-2002",

}

TY - CONF

T1 - Time-optical trajectory planning using a smart evolutionary algorithm with fuzzy inference system

AU - Aydin, Serkan

AU - Temeltas, Hakan

PY - 2002

Y1 - 2002

N2 - Time optical trajectories for mobile robot Nomad 200 is produced with a differential evolution-fuzzy inference system algorithm (DE-FIS). Shortest path is found by visibility graph method. This path is redefined to form a multi-constrained non-linear global optimization problem. This problem is solved by DE-FIS. FIS is used to learn the kinematics of the MR. Experiments are successfully implemented on Nomad 200.

AB - Time optical trajectories for mobile robot Nomad 200 is produced with a differential evolution-fuzzy inference system algorithm (DE-FIS). Shortest path is found by visibility graph method. This path is redefined to form a multi-constrained non-linear global optimization problem. This problem is solved by DE-FIS. FIS is used to learn the kinematics of the MR. Experiments are successfully implemented on Nomad 200.

KW - Mobile robots

KW - Optimization

KW - Trajectory

UR - https://www.scopus.com/pages/publications/0036916131

M3 - Paper

AN - SCOPUS:0036916131

SP - 764

EP - 769

T2 - Proceedings of the 2002 IEEE International Symposium on Intelligent Control

Y2 - 27 October 2002 through 30 October 2002

ER -

Time-optical trajectory planning using a smart evolutionary algorithm with fuzzy inference system

Özet

???event.eventtypes.event.conference???

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap