WAN, Zhenshuai ;YUE, Longwang ;WANG, Yanfeng ;ZHAO, Pu . Acceleration Harmonic Estimation and Suppression for Hydraulic Load Simulator Based on Artificial Bee Colony with Chaotic Search Strategy. Articles in Press, [S.l.], v. 0, n.0, p. 521-542, august 2024. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/acceleration-harmonic-estimation-and-suppression-for-hydraulic-load-simulator-based-on-artificial-bee-colony-with-chaotic-search-strategy/>. Date accessed: 21 nov. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2024.1047.
Wan, Z., Yue, L., Wang, Y., & Zhao, P. (0). Acceleration Harmonic Estimation and Suppression for Hydraulic Load Simulator Based on Artificial Bee Colony with Chaotic Search Strategy. Articles in Press, 0(0), 521-542. doi:http://dx.doi.org/10.5545/sv-jme.2024.1047
@article{sv-jmesv-jme.2024.1047,
author = {Zhenshuai Wan and Longwang Yue and Yanfeng Wang and Pu Zhao},
title = {Acceleration Harmonic Estimation and Suppression for Hydraulic Load Simulator Based on Artificial Bee Colony with Chaotic Search Strategy},
journal = {Articles in Press},
volume = {0},
number = {0},
year = {0},
keywords = {artificial bee colony; chaos-decision variable; harmonic distortion; harmonic estimation; harmonic suppression; },
abstract = {This paper presents a new hybrid algorithm based on artificial bee colony (ABC) and chaotic search strategy (CSS), known as ABC-CSS to solve the harmonic estimation problems in the case of time varying acceleration response signal. The ABC algorithm simulates the intelligent behavior of bees in nature to find high-quality nectar sources according to different divisions of labor. Aiming at the lack of diversity, poor global and local search ability, as well as slow convergence speed of ABC, an improved ABC based on CSS is proposed. The algorithm generates new neighborhood points by the transformation of chaotic and decision variables by carrier mapping, which provides a broader search space and better location of nectar sources for bees and recruited observation bees, and enhances the diversity of bee colonies. At the same time, the investigation of a local honey bee search better solves the algorithm problem of the local minimum and improves the convergence property of the ABC. Simulation and experimental studies are conducted to validate the superiority of the proposed ABC-CSS in harmonic estimation.},
issn = {0039-2480}, pages = {521-542}, doi = {10.5545/sv-jme.2024.1047},
url = {https://www.sv-jme.eu/sl/article/acceleration-harmonic-estimation-and-suppression-for-hydraulic-load-simulator-based-on-artificial-bee-colony-with-chaotic-search-strategy/}
}
Wan, Z.,Yue, L.,Wang, Y.,Zhao, P. 0 August 0. Acceleration Harmonic Estimation and Suppression for Hydraulic Load Simulator Based on Artificial Bee Colony with Chaotic Search Strategy. Articles in Press. [Online] 0:0
%A Wan, Zhenshuai %A Yue, Longwang %A Wang, Yanfeng %A Zhao, Pu %D 0 %T Acceleration Harmonic Estimation and Suppression for Hydraulic Load Simulator Based on Artificial Bee Colony with Chaotic Search Strategy %B 0 %9 artificial bee colony; chaos-decision variable; harmonic distortion; harmonic estimation; harmonic suppression; %! Acceleration Harmonic Estimation and Suppression for Hydraulic Load Simulator Based on Artificial Bee Colony with Chaotic Search Strategy %K artificial bee colony; chaos-decision variable; harmonic distortion; harmonic estimation; harmonic suppression; %X This paper presents a new hybrid algorithm based on artificial bee colony (ABC) and chaotic search strategy (CSS), known as ABC-CSS to solve the harmonic estimation problems in the case of time varying acceleration response signal. The ABC algorithm simulates the intelligent behavior of bees in nature to find high-quality nectar sources according to different divisions of labor. Aiming at the lack of diversity, poor global and local search ability, as well as slow convergence speed of ABC, an improved ABC based on CSS is proposed. The algorithm generates new neighborhood points by the transformation of chaotic and decision variables by carrier mapping, which provides a broader search space and better location of nectar sources for bees and recruited observation bees, and enhances the diversity of bee colonies. At the same time, the investigation of a local honey bee search better solves the algorithm problem of the local minimum and improves the convergence property of the ABC. Simulation and experimental studies are conducted to validate the superiority of the proposed ABC-CSS in harmonic estimation. %U https://www.sv-jme.eu/sl/article/acceleration-harmonic-estimation-and-suppression-for-hydraulic-load-simulator-based-on-artificial-bee-colony-with-chaotic-search-strategy/ %0 Journal Article %R 10.5545/sv-jme.2024.1047 %& 521 %P 22 %J Articles in Press %V 0 %N 0 %@ 0039-2480 %8 2024-08-05 %7 2024-08-05
Wan, Zhenshuai, Longwang Yue, Yanfeng Wang, & Pu Zhao. "Acceleration Harmonic Estimation and Suppression for Hydraulic Load Simulator Based on Artificial Bee Colony with Chaotic Search Strategy." Articles in Press [Online], 0.0 (0): 521-542. Web. 21 Nov. 2024
TY - JOUR AU - Wan, Zhenshuai AU - Yue, Longwang AU - Wang, Yanfeng AU - Zhao, Pu PY - 0 TI - Acceleration Harmonic Estimation and Suppression for Hydraulic Load Simulator Based on Artificial Bee Colony with Chaotic Search Strategy JF - Articles in Press DO - 10.5545/sv-jme.2024.1047 KW - artificial bee colony; chaos-decision variable; harmonic distortion; harmonic estimation; harmonic suppression; N2 - This paper presents a new hybrid algorithm based on artificial bee colony (ABC) and chaotic search strategy (CSS), known as ABC-CSS to solve the harmonic estimation problems in the case of time varying acceleration response signal. The ABC algorithm simulates the intelligent behavior of bees in nature to find high-quality nectar sources according to different divisions of labor. Aiming at the lack of diversity, poor global and local search ability, as well as slow convergence speed of ABC, an improved ABC based on CSS is proposed. The algorithm generates new neighborhood points by the transformation of chaotic and decision variables by carrier mapping, which provides a broader search space and better location of nectar sources for bees and recruited observation bees, and enhances the diversity of bee colonies. At the same time, the investigation of a local honey bee search better solves the algorithm problem of the local minimum and improves the convergence property of the ABC. Simulation and experimental studies are conducted to validate the superiority of the proposed ABC-CSS in harmonic estimation. UR - https://www.sv-jme.eu/sl/article/acceleration-harmonic-estimation-and-suppression-for-hydraulic-load-simulator-based-on-artificial-bee-colony-with-chaotic-search-strategy/
@article{{sv-jme}{sv-jme.2024.1047},
author = {Wan, Z., Yue, L., Wang, Y., Zhao, P.},
title = {Acceleration Harmonic Estimation and Suppression for Hydraulic Load Simulator Based on Artificial Bee Colony with Chaotic Search Strategy},
journal = {Articles in Press},
volume = {0},
number = {0},
year = {0},
doi = {10.5545/sv-jme.2024.1047},
url = {https://www.sv-jme.eu/sl/article/acceleration-harmonic-estimation-and-suppression-for-hydraulic-load-simulator-based-on-artificial-bee-colony-with-chaotic-search-strategy/}
}
TY - JOUR AU - Wan, Zhenshuai AU - Yue, Longwang AU - Wang, Yanfeng AU - Zhao, Pu PY - 2024/08/05 TI - Acceleration Harmonic Estimation and Suppression for Hydraulic Load Simulator Based on Artificial Bee Colony with Chaotic Search Strategy JF - Articles in Press; Vol 0, No 0 (0): Articles in Press DO - 10.5545/sv-jme.2024.1047 KW - artificial bee colony, chaos-decision variable, harmonic distortion, harmonic estimation, harmonic suppression, N2 - This paper presents a new hybrid algorithm based on artificial bee colony (ABC) and chaotic search strategy (CSS), known as ABC-CSS to solve the harmonic estimation problems in the case of time varying acceleration response signal. The ABC algorithm simulates the intelligent behavior of bees in nature to find high-quality nectar sources according to different divisions of labor. Aiming at the lack of diversity, poor global and local search ability, as well as slow convergence speed of ABC, an improved ABC based on CSS is proposed. The algorithm generates new neighborhood points by the transformation of chaotic and decision variables by carrier mapping, which provides a broader search space and better location of nectar sources for bees and recruited observation bees, and enhances the diversity of bee colonies. At the same time, the investigation of a local honey bee search better solves the algorithm problem of the local minimum and improves the convergence property of the ABC. Simulation and experimental studies are conducted to validate the superiority of the proposed ABC-CSS in harmonic estimation. UR - https://www.sv-jme.eu/sl/article/acceleration-harmonic-estimation-and-suppression-for-hydraulic-load-simulator-based-on-artificial-bee-colony-with-chaotic-search-strategy/
Wan, Zhenshuai, Yue, Longwang , Wang, Yanfeng , AND Zhao, Pu. "Acceleration Harmonic Estimation and Suppression for Hydraulic Load Simulator Based on Artificial Bee Colony with Chaotic Search Strategy" Articles in Press [Online], Volume 0 Number 0 (05 August 2024)
Articles in Press
© The Authors 2024. CC BY 4.0 Int.
This paper presents a new hybrid algorithm based on artificial bee colony (ABC) and chaotic search strategy (CSS), known as ABC-CSS to solve the harmonic estimation problems in the case of time varying acceleration response signal. The ABC algorithm simulates the intelligent behavior of bees in nature to find high-quality nectar sources according to different divisions of labor. Aiming at the lack of diversity, poor global and local search ability, as well as slow convergence speed of ABC, an improved ABC based on CSS is proposed. The algorithm generates new neighborhood points by the transformation of chaotic and decision variables by carrier mapping, which provides a broader search space and better location of nectar sources for bees and recruited observation bees, and enhances the diversity of bee colonies. At the same time, the investigation of a local honey bee search better solves the algorithm problem of the local minimum and improves the convergence property of the ABC. Simulation and experimental studies are conducted to validate the superiority of the proposed ABC-CSS in harmonic estimation.