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一種基于角度懲罰距離的高維多目標(biāo)進(jìn)化算法

畢曉君 王朝

畢曉君, 王朝. 一種基于角度懲罰距離的高維多目標(biāo)進(jìn)化算法[J]. 電子與信息學(xué)報(bào), 2018, 40(2): 314-322. doi: 10.11999/JEIT170454
引用本文: 畢曉君, 王朝. 一種基于角度懲罰距離的高維多目標(biāo)進(jìn)化算法[J]. 電子與信息學(xué)報(bào), 2018, 40(2): 314-322. doi: 10.11999/JEIT170454
BI Xiaojun, WANG Chao. A Many-objective Evolutionary Algorithm Based on Angle Penalized Distance[J]. Journal of Electronics & Information Technology, 2018, 40(2): 314-322. doi: 10.11999/JEIT170454
Citation: BI Xiaojun, WANG Chao. A Many-objective Evolutionary Algorithm Based on Angle Penalized Distance[J]. Journal of Electronics & Information Technology, 2018, 40(2): 314-322. doi: 10.11999/JEIT170454

一種基于角度懲罰距離的高維多目標(biāo)進(jìn)化算法

doi: 10.11999/JEIT170454
基金項(xiàng)目: 

國家自然科學(xué)基金(61175126),中央高?;究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金(HEUCFP201709)

A Many-objective Evolutionary Algorithm Based on Angle Penalized Distance

Funds: 

The National Natural Science Foundation of China (61175126), The Fundamental Research Funds for the Central Universities (HEUCFP201709)

  • 摘要: 為了使多目標(biāo)進(jìn)化算法在收斂性和分布性之間保持平衡,該文提出一種基于角度懲罰距離的高維多目標(biāo)進(jìn)化算法(Many-Objective Evolutionary Algorithm based on Angle Penalized Distance, MaOEA-APD)。首先,綜合考慮收斂性和分布性在進(jìn)化不同階段的重要性,構(gòu)造一種角度懲罰距離,使兩者隨進(jìn)化進(jìn)程動(dòng)態(tài)平衡;其次,開發(fā)基于刪除劣質(zhì)個(gè)體的環(huán)境選擇策略,在提高種群分布性的同時(shí)提高收斂性;最后,根據(jù)環(huán)境選擇的原理,設(shè)計(jì)與之相協(xié)調(diào)且互補(bǔ)的匹配選擇過程,提高算法的整體進(jìn)化效率。將所提算法與目前國內(nèi)外性能優(yōu)異的3種高維多目標(biāo)進(jìn)化算法進(jìn)行對(duì)比,實(shí)驗(yàn)結(jié)果表明在WFG標(biāo)準(zhǔn)測試函數(shù)集上,該文算法相對(duì)于其他算法,綜合性能有了較大的提升。
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出版歷程
  • 收稿日期:  2017-05-12
  • 修回日期:  2017-09-22
  • 刊出日期:  2018-02-19

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