Research Article

Using Genetic Algorithm to Generate Pareto-Front in Multi-Objective Problem

by  Ir. M. Dachyar, Farizal, Celine Kurniajaya
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Issue 51
Published: Jun 2018
Authors: Ir. M. Dachyar, Farizal, Celine Kurniajaya
10.5120/ijca2018917346
PDF

Ir. M. Dachyar, Farizal, Celine Kurniajaya . Using Genetic Algorithm to Generate Pareto-Front in Multi-Objective Problem. International Journal of Computer Applications. 180, 51 (Jun 2018), 21-25. DOI=10.5120/ijca2018917346

                        @article{ 10.5120/ijca2018917346,
                        author  = { Ir. M. Dachyar,Farizal,Celine Kurniajaya },
                        title   = { Using Genetic Algorithm to Generate Pareto-Front in Multi-Objective Problem },
                        journal = { International Journal of Computer Applications },
                        year    = { 2018 },
                        volume  = { 180 },
                        number  = { 51 },
                        pages   = { 21-25 },
                        doi     = { 10.5120/ijca2018917346 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2018
                        %A Ir. M. Dachyar
                        %A Farizal
                        %A Celine Kurniajaya
                        %T Using Genetic Algorithm to Generate Pareto-Front in Multi-Objective Problem%T 
                        %J International Journal of Computer Applications
                        %V 180
                        %N 51
                        %P 21-25
                        %R 10.5120/ijca2018917346
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Business must minimized time and cost for their operational activity. By doing this, customer can increase their satisfaction. In order to fulfill every order, one of core activity was material order process. Material order process optimization was multi-objective problem because there is a need to minimize both cost and time used for this process. Genetic Algorithm was used to solve this problem. This paper aims to provide pareto-front solutions for material order process multi-objective problem.

References
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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Pareto-front genetic algorithm multi-objective problem objective function constrained optimization.

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