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Min-Xia Zhang - IEEE Xplore Author Profile

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Over the last years, the food delivery market has seen significant growth and provide a lot of jobs for deliverymen. The revenue of a takeaway deliveryman depends on not only reasonable order taking but also efficient delivery path planning. However, it is challenging to select among a large number of candidate orders and plan an efficient route passing all involved pickup points and service point...Show More
Power transmission networks are vulnerable to natural or man-made disasters, and it is of critical importance to efficiently restore damaged power supply in disaster-affected areas. A large-scale damaged transmission network can contain many faults that are initially uninspected/unlocated. Using unmanned aerial vehicles (UAVs) to inspect these faults can significantly improve the efficiency of sub...Show More
In recent years, there have been increasing reports of missing tourists around the world. The use of unmanned aerial vehicles (UAVs) can significantly improve the performance of search and rescue operations. However, planning the search paths of UAVs can be a highly complex optimization problem, and one of the most challenging tasks in the problem formulation is the estimation of target location p...Show More
As a relatively new metaheuristic in swarm intelligence, fireworks algorithm (FWA) has exhibited promising performance on a wide range of optimization problems. This paper aims to improve FWA by enhancing fireworks interaction in three aspects: 1) Developing a new Gaussian mutation operator to make sparks learn from more exemplars; 2) Integrating the regular explosion operator of FWA with the migr...Show More
The railway has played a significant role in disaster relief transportation in China. This paper presents an emergency railway transportation problem, which is to use the limited transport capability to meet the urgent relief transportation requirements. We have applied several state-of-the-art evolutionary algorithms to a variety of problem instances, but have found that none of them can obtain s...Show More
The paper presents a hybrid biogeography-based optimization (BBO) and fireworks algorithm (FWA) for global optimization. The key idea is to introduce the migration operator of BBO to FWA, in order to enhance information sharing among the population, and thus improve solution diversity and avoid premature convergence. A migration probability is designed to integrate the migration of BBO and the nor...Show More
It is a key aspect of Web mining to cluster users in terms of browsing interests on Web. The page content and the interests browsing path are taken into account in the measurement of browsing. Thereafter, a new method is brought forth to calculate similarity of interests and users are clustered by using a threshold λ. The result of this experiment shows that the new method can efficiently improve ...Show More
It is an important issue to detect the intrusion attacks for the security of network communication. The clustering-based methods usually are proposed to cope with the problem of intrusion detections. However, how to detect the unknown intrusion attacks within stream data has come to be a challenge. In this paper, we consider the intrusion attacks as outliers and propose a novel approach (called DO...Show More
The aim of test paper composing is to compose an optimization test paper that satisfies the parameters which the user inputs, so the test paper composing problem is a classical multi-objective linear programming problem. After analyzing the mathematical model of the test paper composing problem, this paper converted part of the restricting conditions of test paper composing problem to objective fu...Show More