Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Shuqu Qian"'
Publikováno v:
AIMS Mathematics, Vol 9, Iss 5, Pp 11833-11850 (2024)
Conic finance theory, which has been developed over the past decade, replaces classical one-price theory with the bid-ask price economy in option pricing since the one-price principle ignores the bid-ask spread created by market liquidity. Within thi
Externí odkaz:
https://doaj.org/article/b7a4448c8af34e88bfd5f891a8490afe
Publikováno v:
Mobile Information Systems. 2022:1-13
Aiming at the problem of the low bearing faults identification accuracy of the method based on the deep neural network under small samples and multiple working conditions, a novel bearing fault identification method combined with the coordinate delay
Carbon emissions have attracted widespread attention and become one of the most important research topics in the international arena. An objective and accurate prediction of carbon emissions can provide a theoretical basis for the Chinese government
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ce0bd09f507a0ea3f9be0d78e2f8996
https://doi.org/10.21203/rs.3.rs-2756771/v1
https://doi.org/10.21203/rs.3.rs-2756771/v1
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 124:3887-3898
Bearing fault is a factor that directly affects the reliability of the machine tools. Small sample bearing fault diagnosis plays an important role to improve the reliability of machine tools. However, the over-fitting and weak performance are common
Publikováno v:
Soft Computing. 24:15409-15425
This paper proposes a novel binary particle swarm optimization algorithm (called IRBPSO) to address high-dimensional knapsack problems in dynamic environments (DKPs). The IRBPSO integrates an immune-based response strategy into the basic binary parti
Publikováno v:
Soft Computing. 24:15249-15271
In this paper, an improved particle swarm optimization algorithm (PSOCS) that integrates with a clone selection (CS) principle of artificial immune system is proposed to solve dynamic economic emission dispatch (DEED) problem. Classical particle swar
Publikováno v:
Natural Computing. 18:913-932
In this paper, an enhanced genetic algorithm (ERGA), based on memory updating and environment reaction schemes, has been proposed to solve constrained knapsack problems in dynamic environments (DKPs). Its key operators, e.g., the memory updating and
Publikováno v:
Optimization and Engineering. 19:271-296
Stochastic optimization methods inspired by biological evolution system have been widely employed to optimize PWM control laws of power inverters. But the existing approaches impose a serious computational burden and difficult parameter tuning issues
Publikováno v:
2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).
In PWM inverters control, selective harmonic elimination (SHE) technique is used to control fundamental harmonic and eliminate harmonics of chosen lower-order. However, PWM technique requires the determination of the optimum switching angles by solvi
Publikováno v:
2019 11th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).
In this paper, a parallel immune algorithm (PIA) inspired by artificial immune system is proposed for solving dynamic multiobjective problems (DMOPs). The population is divided into nondominated subpopulation and dominated subpopulation. One focuses