A new interior point algorithm for solving multicriteria optimization problems
Multicriteria optimization problems have many applications in various engineering areas such as bridge-construction designs, energy density, economics, and military strategies. In this paper, we propose a new interior point algorithm to multicriteria optimization problems. Comparing with the commonly used locally convergent algorithms, this new algorithm is globally convergent and reduce the computational cost greatly by making us avoid selecting the initial point via other algorithms.
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. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.