Genetic algorithm used for initial evaluation of specification of multi-robot system

Vitalijs Komašilovs; Egils Stalidzans

doi:10.1109/CarpathianCC.2012.6228660

Genetic algorithm used for initial evaluation of specification of multi-robot system

Vitalijs Komašilovs^*
, Egils Stalidzans

^*Corresponding author for this work

Latvia University of Life Sciences and Technologies

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review

3 Citations (Scopus)

Abstract

Economic benefit of an industrial company depends on forethought deployment of an industrial production system. Production processes are being optimized using variety of models in order to maximize revenue of the company. Application of robotic systems on the production sites increases effectiveness of the industrial company providing variety of automation approaches. Configuration of robotic system affects whole production process, and selection of inappropriate option can lead to financial losses of the company. Authors propose the procedure for optimization of specification of multi-robot system which is based on decomposition approach and use genetic algorithm for initial evaluation of the solution candidates. Paper describes setup of genetic algorithm used as well as estimation model for investment and operating costs, which is used as fitness function in genetic algorithm.

Original language	English
Title of host publication	Proceedings of the 2012 13th International Carpathian Control Conference, ICCC 2012
Pages	313-317
Number of pages	5
DOIs	https://doi.org/10.1109/CarpathianCC.2012.6228660
Publication status	Published - 2012
Externally published	Yes
Event	2012 13th International Carpathian Control Conference, ICCC 2012 - High Tatras, Slovakia Duration: 28 May 2012 → 31 May 2012

Publication series

Name	Proceedings of the 2012 13th International Carpathian Control Conference, ICCC 2012

Conference

Conference	2012 13th International Carpathian Control Conference, ICCC 2012
Country/Territory	Slovakia
City	High Tatras
Period	28/05/12 → 31/05/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

OECD Field of Science

2.3 Mechanical Engineering

Keywords

genetic algorithm
multi-robot system
optimization

Access to Document

10.1109/CarpathianCC.2012.6228660

Cite this

Komašilovs, V., & Stalidzans, E. (2012). Genetic algorithm used for initial evaluation of specification of multi-robot system. In Proceedings of the 2012 13th International Carpathian Control Conference, ICCC 2012 (pp. 313-317). Article 6228660 (Proceedings of the 2012 13th International Carpathian Control Conference, ICCC 2012). https://doi.org/10.1109/CarpathianCC.2012.6228660

@inproceedings{fd81827e6050472ea7e14b1a76238c1b,

title = "Genetic algorithm used for initial evaluation of specification of multi-robot system",

abstract = "Economic benefit of an industrial company depends on forethought deployment of an industrial production system. Production processes are being optimized using variety of models in order to maximize revenue of the company. Application of robotic systems on the production sites increases effectiveness of the industrial company providing variety of automation approaches. Configuration of robotic system affects whole production process, and selection of inappropriate option can lead to financial losses of the company. Authors propose the procedure for optimization of specification of multi-robot system which is based on decomposition approach and use genetic algorithm for initial evaluation of the solution candidates. Paper describes setup of genetic algorithm used as well as estimation model for investment and operating costs, which is used as fitness function in genetic algorithm.",

keywords = "genetic algorithm, multi-robot system, optimization",

author = "Vitalijs Koma{\v s}ilovs and Egils Stalidzans",

year = "2012",

doi = "10.1109/CarpathianCC.2012.6228660",

language = "English",

isbn = "9781457718687",

series = "Proceedings of the 2012 13th International Carpathian Control Conference, ICCC 2012",

pages = "313--317",

booktitle = "Proceedings of the 2012 13th International Carpathian Control Conference, ICCC 2012",

note = "2012 13th International Carpathian Control Conference, ICCC 2012 ; Conference date: 28-05-2012 Through 31-05-2012",

}

Komašilovs, V & Stalidzans, E 2012, Genetic algorithm used for initial evaluation of specification of multi-robot system. in Proceedings of the 2012 13th International Carpathian Control Conference, ICCC 2012., 6228660, Proceedings of the 2012 13th International Carpathian Control Conference, ICCC 2012, pp. 313-317, 2012 13th International Carpathian Control Conference, ICCC 2012, High Tatras, Slovakia, 28/05/12. https://doi.org/10.1109/CarpathianCC.2012.6228660

Genetic algorithm used for initial evaluation of specification of multi-robot system. / Komašilovs, Vitalijs; Stalidzans, Egils.
Proceedings of the 2012 13th International Carpathian Control Conference, ICCC 2012. 2012. p. 313-317 6228660 (Proceedings of the 2012 13th International Carpathian Control Conference, ICCC 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review

TY - GEN

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AB - Economic benefit of an industrial company depends on forethought deployment of an industrial production system. Production processes are being optimized using variety of models in order to maximize revenue of the company. Application of robotic systems on the production sites increases effectiveness of the industrial company providing variety of automation approaches. Configuration of robotic system affects whole production process, and selection of inappropriate option can lead to financial losses of the company. Authors propose the procedure for optimization of specification of multi-robot system which is based on decomposition approach and use genetic algorithm for initial evaluation of the solution candidates. Paper describes setup of genetic algorithm used as well as estimation model for investment and operating costs, which is used as fitness function in genetic algorithm.

KW - genetic algorithm

KW - multi-robot system

KW - optimization

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UR - https://ieeexplore.ieee.org/document/6228660

U2 - 10.1109/CarpathianCC.2012.6228660

DO - 10.1109/CarpathianCC.2012.6228660

M3 - Conference paper

AN - SCOPUS:84864328111

SN - 9781457718687

T3 - Proceedings of the 2012 13th International Carpathian Control Conference, ICCC 2012

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BT - Proceedings of the 2012 13th International Carpathian Control Conference, ICCC 2012

T2 - 2012 13th International Carpathian Control Conference, ICCC 2012

Y2 - 28 May 2012 through 31 May 2012

ER -

Genetic algorithm used for initial evaluation of specification of multi-robot system

Abstract

Publication series

Conference

UN SDGs

OECD Field of Science

Keywords

Access to Document

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