EFP‐GA: An Extended Fuzzy Programming Model and a Genetic Algorithm for Management of the Integrated Hub Location and Revenue Model under Uncertainty

Abstract

The aviation industry is one of the most widely used applications in transportation. Due to the limited capacity of aircraft, revenue management in this industry is of high significance. On the other hand, the hub location problem has been considered to facilitate the demands assignment to hubs. This paper presents an integrated p-hub location and revenue management problem under uncertain demand to maximize net revenue and minimize total cost, including hub establishment and transportation costs. A fuzzy programming model and a genetic algorithm are developed to solve the proposed model with different sizes. The mining and petroleum industry is used for case studies. Results show that the proposed algorithm can obtain a suitable solution in a reasonable amount of time.

Experimental Heat Transfer Performance of Plate Fin Heat Exchanger Based on Fuzzy Algorithm

“…The instrument device that converts the dynamic flow sensor thermometer into an inductive flow or temperature signal when measuring temperature changes is called a static heat exchanger. According to different installation locations, there can be two forms of flow models, namely, a fixed range flow model and a reverse range fluid model [11][12]. The heat transfer process of plate fin regenerator is to transfer the air flow, convection and radiation to the fluid flow state, and the velocity and momentum under different forms of motion state to the medium.…”

A GPU-Based Genetic Algorithm for the Multiple Allocation P-Hub Median Problem

“…They present mixed integer programming formulations for these problems and computational results with a general-purpose solver. For a robust optimization, Benaini and Berrajaa (2020) propose a genetic algorithm to solve the robust uncapacitated single allocation and also Rouzpeykar et al (2022) developed a genetic algorithm to solve p-hub location and revenue management problem. Yaman (2011), introduces the R-allocation p-hub median problem, where each node must be allocated to at most r hubs.…”