Energy-Efficient Straight Robotic Assembly Line Using Metaheuristic Algorithms

Janardhanan Mukund Nilakantan*, S. G. Ponnambalam, Peter Nielsen

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

3 Citationer (Scopus)

Abstract

This paper focuses on the implementation of metaheuristic algorithms to solve straight robotic assembly line balancing problem with an objective of maximizing line efficiency by minimizing the energy consumption of the assembly line. Reduction in the energy consumption is of high importance these days due to the need of creating environmental friendly industries and also due to the increase in the cost of energy. Due to the availability of different types of robots in the market, there is a necessity of selecting efficient set of robots to perform the tasks in the assembly line and optimizing the efficiency of its usage in the line effectively. Two well-known metaheuristic algorithms: particle swarm optimization (PSO) and differential evolution (DE) are implemented to solve due to the NP-hard nature of the problem. Proposed algorithms are tested on the benchmark problems available in the literature and the detailed comparative results are presented in this paper. It can be seen that proposed DE algorithm could obtain better results when compared with PSO from the experimental study.

OriginalsprogEngelsk
TitelSoft Computing : Theories and Applications - Proceedings of SoCTA 2016
RedaktørerMillie Pant, Sanyog Rawat, Kanad Ray, Tarun K. Sharma, Anirban Bandyopadhyay
Antal sider12
Vol/bind583
ForlagPhysica-Verlag
Publikationsdato1 jan. 2018
Sider803-814
ISBN (Trykt)9789811056864
DOI
StatusUdgivet - 1 jan. 2018
Begivenhed1st International Conference on Soft Computing: Theories and Applications, SoCTA 2016 - Jaipur, Indien
Varighed: 28 dec. 201630 dec. 2016

Konference

Konference1st International Conference on Soft Computing: Theories and Applications, SoCTA 2016
Land/OmrådeIndien
ByJaipur
Periode28/12/201630/12/2016
NavnAdvances in Intelligent Systems and Computing
Vol/bind583
ISSN2194-5357

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