Open Access Open Access  Restricted Access Subscription or Fee Access

An Improved Multi-objective Algorithm for Flow Allocations in Logistics Preference Paths

Xin Zhang, Dingzhong Tan

Abstract


When many weights are stochastic, the flow allocation of paths is a key stage of the transportation network’s efficiency. Currently, a variety of methods (or heuristics) have been proposed to solve this complex optimization problem, with good results in some cases just with limitations in the special fields. On this basis, we develop an algorithm for model multi-objective that combines ideas under stochastic weight. The method performs well even when the order of magnitude and/or the range of the parameters were unknown. It refines iteratively a sequence of parameter distributions through preference combined with partial exampling from a historical prior defined over the support of all previous iterations. Using the simulated and real experimental data, we exemplify our method with multi-objective improved models-estimated the weight efficiently even in the absence of the weight.

Keywords


flow allocation, multi-objective optimization, path preference.

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.