A multi-objective cross-entropy optimization algorithm and its application in high-speed train lateral control

Tang, Qichao; Ma, Lei; Zhao, Dan; Lei, Jieyu; Wang, Yuhao

doi:10.1016/j.asoc.2021.108151

Cited by 8 publications

(3 citation statements)

References 32 publications

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“…Zhang et al [10,11] established a parameter model for high-speed trains and compared the aerodynamic performance of the front-end model before and after optimization with a crosswind, proving that optimization analysis can effectively improve the anti-crosswind performance of the front end. Many scholars have combined multidisciplinary optimization techniques with vehicle structure optimization to achieve lightweight structures and further improve the performance in terms of vehicle strength [12][13][14], vibration [15][16][17], collision [18][19][20], and other aspects.…”

Section: Introductionmentioning

confidence: 99%

A New Car-Body Structure Design for High-Speed EMUs Based on the Topology Optimization Method

Liu,

Ma,

Zhu

et al. 2024

Applied Sciences

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In recent years, the research and development of high-speed trains has advanced rapidly. The main development trends of high-speed trains are higher speeds, lower energy consumption, higher safety, and better environmental protection. The realization of a lightweight high-speed car body is one of the key features in the development trend of high-speed trains. Firstly, the basic dimensions of the car body’s geometric model are determined according to the external dimensions of the body of a CRH EMU, and the specific topology optimization design domain is selected to establish the finite element analysis model; secondly, the strength and modal analyses of the topology optimization design domain are carried out to check the accuracy of the design domain and provide a comparative analysis for subsequent design. Then, the variables, constraints, and objective functions of the topology optimization design are determined to establish the mathematical model of topology optimization, and the design domain is calculated for topology optimization under single and multiple conditions, respectively. Finally, based on the topology optimization calculation results, truss-type reconstruction modeling is carried out for the car body’s side walls, roof, underframe, end walls, and other parts. Compared with the conventional EMU body structure, the weight of the reconstructed body structure is reduced by about 18%. The results of the finite element analysis of the reconstructed car-body structure prove the reliability and safety of the structure, indicating that the reconstructed car-body scheme meets the corresponding performance indicators.

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Section: Introductionmentioning

confidence: 99%

A New Car-Body Structure Design for High-Speed EMUs Based on the Topology Optimization Method

Liu,

Ma,

Zhu

et al. 2024

Applied Sciences

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“…The cross-entropy method is a kind of the probability algorithm proposed by Rubinstein in 1999 [23] for estimating the probabilities of rare events initially and then it was applied to continuous optimization problems. Although CE method have been widely used in the field of power system, for examples: economic emission dispatch [24], dynamic economic dispatch [25], security-constrained optimal power flow (SCOPF) [26], dynamic optimal power flow (DOPF) [27], optimal power flow problem with multiple renewable source [28] and other fields such as: network reliability estimation [29], micro-scale manufacturing process [30] and high-speed train lateral control [31], its application to the OPF problem is still limited. Furthermore, the process of CE method is quite different from the most heuristic algorithms which means CE method has potential to be investigated and improved.…”

Section: Introductionmentioning

confidence: 99%

Optimal Power Flow Using Improved Cross-Entropy Method

Niu

Yang

2023

Energies

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An improved cross-entropy (CE) method assisted with a chaotic operator (CGSCE) is presented for solving the optimal power flow (OPF) problem. The introduction of the chaotic operator helps to enhance the exploration capability of the popular cross-entropy approach while the global best solution is preserved. To handle the constraints in the optimal power flow, an efficient constraint handling technique with no parameter adjustment is also introduced. The approach is tested on both the IEEE-30 bus system and the IEEE-57 bus system with different objective functions to verify its effectiveness in comparison with a few other methods reported in the literature. Simulation results confirm that the proposed method is capable of improving both the exploration ability and the convergence speed of the conventional cross-entropy method. It outperforms the original cross-entropy, its variant GSCE and other methods in most of the OPF study cases.

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“…Hu et al [13] applied CEA to solve the problem of dynamic weapon target allocation. Tang et al [14] proposed an improved multi-objective cross entropy optimization (MOCEO) algorithm by introducing three improvement strategies and applied it to lateral vibration control of high-speed trains. The algorithm shows faster convergence speed and stronger robustness.…”

Section: Introductionmentioning

confidence: 99%

Immune Cross Entropy Algorithm for Robust Berth Allocation and Quay Crane Assignment Problem

Dai¹,

Ma²,

Yang³

et al. 2023

Preprint

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Considering different kinds of uncertainties such as late arrival of ships and extended handling time in the actual operation of container terminal, a robust berth allocation and quay crane assignment problem (BACAP) model which aims at minimizing the total stay time of all vessels is proposed. The buffer time between vessels based on weighted slack time can effectively absorb the impact of uncertainty on initial scheduling. Then an immune cross entropy algorithm (ICEA) is proposed to solve the problem. Based on the construction of discrete probability matrix, some solutions are generated and elite solutions are selected. Furthermore, according to the characteristics of BACAP, some immune maturation operators are utilized to balance the local search and global optimization ability of the algorithm. Finally, a robust berth allocation and quay crane scheduling plan in uncertain environment is generated. Computational experiment verifies the feasibility of the model and the effectiveness of the proposed algorithm.

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A multi-objective cross-entropy optimization algorithm and its application in high-speed train lateral control

Cited by 8 publications

References 32 publications

A New Car-Body Structure Design for High-Speed EMUs Based on the Topology Optimization Method

A New Car-Body Structure Design for High-Speed EMUs Based on the Topology Optimization Method

Optimal Power Flow Using Improved Cross-Entropy Method

Immune Cross Entropy Algorithm for Robust Berth Allocation and Quay Crane Assignment Problem

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