The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 전역, 로컬, 최소 검색 단위로 구성된 멀티 스레드 진화 프로그래밍(MEP) 기술을 제시합니다. 현재 상황에 따라 적절한 검색 루틴이 호출되고, 선택된 루틴을 사용하여 개인이 업데이트됩니다. 각 검색 루틴에서 개인은 알고리즘의 견고성을 향상시키기 위해 정규화된 상대 적합도 함수로 업데이트됩니다. 제안된 방법은 트럭 및 트레일러 시스템을 하역장에 백업하는 문제에 적용됩니다. 퍼지 로직 컨트롤러는 트럭 및 트레일러 후방 시스템을 위해 설계되었으며 MEP 알고리즘은 퍼지 로직 컨트롤러의 대표 매개변수를 최적화하는 데 사용됩니다. 시뮬레이션 결과는 제안된 제어기가 다양한 초기 위치에서도 잘 작동함을 보여줍니다.
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부
Chong Seong HONG, Jin Myung WON, Jin Soo LEE, "Multi-Thread Evolutionary Programming and Its Application to Truck-and-Trailer Backer-Upper Control" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 2, pp. 597-603, February 2001, doi: .
Abstract: This paper presents a multi-thread evolutionary programming (MEP) technique that is composed of global, local, and minimal search units. An appropriate search routine is called depending on the current situation and the individuals are updated by using the selected routine. In each search routine, the individuals are updated with a normalized relative fitness function to improve the robustness of the algorithm. The proposed method is applied to the problem of backing up a truck-and-trailer system to a loading dock. A fuzzy logic controller is designed for a truck-and-trailer backer-upper system and the MEP algorithm is used to optimize the representative parameters of the fuzzy logic controller. The simulation results show that the proposed controller performs well even under a large variety of initial positions.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_2_597/_p
부
@ARTICLE{e84-a_2_597,
author={Chong Seong HONG, Jin Myung WON, Jin Soo LEE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Multi-Thread Evolutionary Programming and Its Application to Truck-and-Trailer Backer-Upper Control},
year={2001},
volume={E84-A},
number={2},
pages={597-603},
abstract={This paper presents a multi-thread evolutionary programming (MEP) technique that is composed of global, local, and minimal search units. An appropriate search routine is called depending on the current situation and the individuals are updated by using the selected routine. In each search routine, the individuals are updated with a normalized relative fitness function to improve the robustness of the algorithm. The proposed method is applied to the problem of backing up a truck-and-trailer system to a loading dock. A fuzzy logic controller is designed for a truck-and-trailer backer-upper system and the MEP algorithm is used to optimize the representative parameters of the fuzzy logic controller. The simulation results show that the proposed controller performs well even under a large variety of initial positions.},
keywords={},
doi={},
ISSN={},
month={February},}
부
TY - JOUR
TI - Multi-Thread Evolutionary Programming and Its Application to Truck-and-Trailer Backer-Upper Control
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 597
EP - 603
AU - Chong Seong HONG
AU - Jin Myung WON
AU - Jin Soo LEE
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2001
AB - This paper presents a multi-thread evolutionary programming (MEP) technique that is composed of global, local, and minimal search units. An appropriate search routine is called depending on the current situation and the individuals are updated by using the selected routine. In each search routine, the individuals are updated with a normalized relative fitness function to improve the robustness of the algorithm. The proposed method is applied to the problem of backing up a truck-and-trailer system to a loading dock. A fuzzy logic controller is designed for a truck-and-trailer backer-upper system and the MEP algorithm is used to optimize the representative parameters of the fuzzy logic controller. The simulation results show that the proposed controller performs well even under a large variety of initial positions.
ER -