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
Algoritma Pemilihan Klon (CSA), berdasarkan teori pemilihan klon yang dicadangkan oleh Burnet, telah mendapat banyak perhatian dan aplikasi meluas sepanjang dekad yang lalu. Walau bagaimanapun, proses percambahan dalam kes sel imun adalah aseksual. Iaitu, tiada pertukaran maklumat semasa sel imun yang berbeza. Akibatnya CSA tradisional selalunya tidak memuaskan dan mudah terperangkap dalam optima tempatan supaya menjadi penumpuan pramatang. Untuk menyelesaikan masalah sedemikian, diilhamkan oleh mekanik gangguan kuantum, pengendali silang silang kuantum yang dipertingkatkan diperkenalkan dan dibenamkan dalam CSA tradisional. Keputusan simulasi berdasarkan masalah jurujual perjalanan (TSP) telah menunjukkan keberkesanan Algoritma Pemilihan Klon berasaskan silang silang kuantum.
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Salinan
Hongwei DAI, Yu YANG, Cunhua LI, Jun SHI, Shangce GAO, Zheng TANG, "Quantum Interference Crossover-Based Clonal Selection Algorithm and Its Application to Traveling Salesman Problem" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 1, pp. 78-85, January 2009, doi: 10.1587/transinf.E92.D.78.
Abstract: Clonal Selection Algorithm (CSA), based on the clonal selection theory proposed by Burnet, has gained much attention and wide applications during the last decade. However, the proliferation process in the case of immune cells is asexual. That is, there is no information exchange during different immune cells. As a result the traditional CSA is often not satisfactory and is easy to be trapped in local optima so as to be premature convergence. To solve such a problem, inspired by the quantum interference mechanics, an improved quantum crossover operator is introduced and embedded in the traditional CSA. Simulation results based on the traveling salesman problems (TSP) have demonstrated the effectiveness of the quantum crossover-based Clonal Selection Algorithm.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.78/_p
Salinan
@ARTICLE{e92-d_1_78,
author={Hongwei DAI, Yu YANG, Cunhua LI, Jun SHI, Shangce GAO, Zheng TANG, },
journal={IEICE TRANSACTIONS on Information},
title={Quantum Interference Crossover-Based Clonal Selection Algorithm and Its Application to Traveling Salesman Problem},
year={2009},
volume={E92-D},
number={1},
pages={78-85},
abstract={Clonal Selection Algorithm (CSA), based on the clonal selection theory proposed by Burnet, has gained much attention and wide applications during the last decade. However, the proliferation process in the case of immune cells is asexual. That is, there is no information exchange during different immune cells. As a result the traditional CSA is often not satisfactory and is easy to be trapped in local optima so as to be premature convergence. To solve such a problem, inspired by the quantum interference mechanics, an improved quantum crossover operator is introduced and embedded in the traditional CSA. Simulation results based on the traveling salesman problems (TSP) have demonstrated the effectiveness of the quantum crossover-based Clonal Selection Algorithm.},
keywords={},
doi={10.1587/transinf.E92.D.78},
ISSN={1745-1361},
month={January},}
Salinan
TY - JOUR
TI - Quantum Interference Crossover-Based Clonal Selection Algorithm and Its Application to Traveling Salesman Problem
T2 - IEICE TRANSACTIONS on Information
SP - 78
EP - 85
AU - Hongwei DAI
AU - Yu YANG
AU - Cunhua LI
AU - Jun SHI
AU - Shangce GAO
AU - Zheng TANG
PY - 2009
DO - 10.1587/transinf.E92.D.78
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2009
AB - Clonal Selection Algorithm (CSA), based on the clonal selection theory proposed by Burnet, has gained much attention and wide applications during the last decade. However, the proliferation process in the case of immune cells is asexual. That is, there is no information exchange during different immune cells. As a result the traditional CSA is often not satisfactory and is easy to be trapped in local optima so as to be premature convergence. To solve such a problem, inspired by the quantum interference mechanics, an improved quantum crossover operator is introduced and embedded in the traditional CSA. Simulation results based on the traveling salesman problems (TSP) have demonstrated the effectiveness of the quantum crossover-based Clonal Selection Algorithm.
ER -