Journal ArticleDOI
Study on an improved adaptive PSO algorithm for solving multi-objective gate assignment
Wu Deng,Huimin Zhao,Xinhua Yang,Juxia Xiong,Meng Sun,Bo Li +5 more
- Vol. 59, pp 288-302
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TLDR
The experiment results show that the DOADAPO algorithm can improve the convergence speed and enhance the local search ability and global search ability, and the multi-objective optimization model of gate assignment can improved the comprehensive service of gate assignments.Abstract:
Display Omitted An improved adaptive PSO based on Alpha-stable distribution and dynamic fractional calculus is studied.A new multi-objective optimization model of gate assignment problem is proposed.The actual data are used to demonstrate the effectiveness of the proposed method. Gate is a key resource in the airport, which can realize rapid and safe docking, ensure the effective connection between flights and improve the capacity and service efficiency of airport. The minimum walking distances of passengers, the minimum idle time variance of each gate, the minimum number of flights at parking apron and the most reasonable utilization of large gates are selected as the optimization objectives, then an efficient multi-objective optimization model of gate assignment problem is proposed in this paper. Then an improved adaptive particle swarm optimization(DOADAPO) algorithm based on making full use of the advantages of Alpha-stable distribution and dynamic fractional calculus is deeply studied. The dynamic fractional calculus with memory characteristic is used to reflect the trajectory information of particle updating in order to improve the convergence speed. The Alpha-stable distribution theory is used to replace the uniform distribution in order to escape from the local minima in a certain probability and improve the global search ability. Next, the DOADAPO algorithm is used to solve the constructed multi-objective optimization model of gate assignment in order to fast and effectively assign the gates to different flights in different time. Finally, the actual flight data in one domestic airport is used to verify the effectiveness of the proposed method. The experiment results show that the DOADAPO algorithm can improve the convergence speed and enhance the local search ability and global search ability, and the multi-objective optimization model of gate assignment can improve the comprehensive service of gate assignment. It can effectively provide a valuable reference for assigning the gates in hub airport.read more
Citations
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Journal ArticleDOI
An Improved Ant Colony Optimization Algorithm Based on Hybrid Strategies for Scheduling Problem
Wu Deng,Junjie Xu,Huimin Zhao +2 more
TL;DR: The experiment results show that the proposed ICMPACO algorithm can effectively obtain the best optimization value in solving TSP and effectively solve the gate assignment problem, obtain better assignment result, and it takes on better optimization ability and stability.
Journal ArticleDOI
A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm
TL;DR: The fuzzy information entropy can accurately and more completely extract the characteristics of the vibration signal, the improved PSO algorithm can effectively improve the classification accuracy of LS-SVM, and the proposed fault diagnosis method outperforms the other mentioned methods.
Journal ArticleDOI
Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients.
TL;DR: A new efficient diagnostic approach to integrate machine learning and gas chromatography-mass spectrometry (GC-MS), named GEE, is proposed to identify the paraquat poisoned patients and might serve as a novel candidate diagnosis of PQ-poisoned patients.
Journal ArticleDOI
A Novel Fault Diagnosis Method Based on Integrating Empirical Wavelet Transform and Fuzzy Entropy for Motor Bearing
TL;DR: Results show that the EWT outperforms empirical mode decomposition for decomposing the signal into multiple components, and the proposed EWTFSFD method can accurately and effectively achieve the fault diagnosis of motor bearing.
Journal ArticleDOI
A balanced whale optimization algorithm for constrained engineering design problems
TL;DR: Two novel effective strategies composed of Levy flight and chaotic local search are synchronously introduced into the whale optimization algorithm to guide the swarm and further promote the harmony between the inclusive exploratory and neighborhood-informed capacities of the conventional technique.
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