Open Access Open Access  Restricted Access Subscription or Fee Access

Genetic Algorithms for Optimization of Multi-Level Product Distribution

Asyrofa Rahmi, Wayan F. Mahmudy , M. Zoqi Sarwani

Abstract



The process of wide product distribution to some areas consumes a very high cost. By minimizing the cost of the distribution process, companies can increase their profits. As algorithms that stochastically provide multiple diverse solutions, Genetic Algorithms (GAs) were proposed to solve the complex problems of multi-level distribution. To prevent premature convergence, preliminary numerical experiments were conducted to obtain the best parameters of GAs. Computational results of GAs that were adjusted by parameter testing were compared with the results of Random Search (RS) computation. The results indicated that there was an enormous difference in costs that resulted from computing GAs compared to RS in multi-level distribution problems.

Keywords


Multi-level distribution, genetic algorithms, random search.

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.