AN EFFICIENT ARTIFICIAL BEE COLONY ALGORITHM FOR A P-HUB COVERING LOCATION PROBLEM WITH TRAVEL TIME RELIABILITY
DOI:
https://doi.org/10.23055/ijietap.2018.25.1.3159Abstract
This paper addresses a new reliable p-hub covering location problem (p-HLP) in a degradable transportation network. The capacity of links is assumed as uniform random variables subject to stochastic degradations, as in a form of daily traffic, earthquake, flood, etc. Stochastic degradations cause some uncertainties in a network, such as travel time uncertainty. As a result, this paper tackles with uncertainty in a degradable network by the stochastic programming and travel time budget concept. An artificial bee colony (ABC) algorithm is proposed to solve real-sized instances, and its performances are compared with a differential evolution (DE) algorithm. Finally, some computational experiments are provided to demonstrate the effectiveness of the proposed model and solution approaches.
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