Interactive genetic algorithm based on accelerating convergent mutation strategy

Yong Qing Huang; Chang Yong Liang; Shan Lin Yang; Qing Lu

Interactive genetic algorithm based on accelerating convergent mutation strategy

Yong Qing Huang
, Chang Yong Liang
, Shan Lin Yang
, Qing Lu

Tongling University
Hefei University of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

4 引用（Scopus）

摘要

Based on introduction of a novel mutation strategy, a new interactive genetic algorithm was proposed aiming on inefficient searching ability and local optimization of current interactive genetic algorithm caused by using a small population size and a few generations. The issues to implement were proposed. The efficiency of the proposed algorithm was analyzed. The simulation of function optimization and fashion design indicates the mutation strategy and the algorithm is effective.

源语言	英语
页（从-至）	1913-1916
页数	4
期刊	Xitong Fangzhen Xuebao / Journal of System Simulation
卷	19
期	9
出版状态	已出版 - 5 5月 2007
已对外发布	是

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title = "Interactive genetic algorithm based on accelerating convergent mutation strategy",

abstract = "Based on introduction of a novel mutation strategy, a new interactive genetic algorithm was proposed aiming on inefficient searching ability and local optimization of current interactive genetic algorithm caused by using a small population size and a few generations. The issues to implement were proposed. The efficiency of the proposed algorithm was analyzed. The simulation of function optimization and fashion design indicates the mutation strategy and the algorithm is effective.",

keywords = "Fashion design, Human fatigue, Interactive genetic algorithm, Mutation",

author = "Huang, \{Yong Qing\} and Liang, \{Chang Yong\} and Yang, \{Shan Lin\} and Qing Lu",

year = "2007",

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T1 - Interactive genetic algorithm based on accelerating convergent mutation strategy

AU - Huang, Yong Qing

AU - Liang, Chang Yong

AU - Yang, Shan Lin

AU - Lu, Qing

PY - 2007/5/5

Y1 - 2007/5/5

N2 - Based on introduction of a novel mutation strategy, a new interactive genetic algorithm was proposed aiming on inefficient searching ability and local optimization of current interactive genetic algorithm caused by using a small population size and a few generations. The issues to implement were proposed. The efficiency of the proposed algorithm was analyzed. The simulation of function optimization and fashion design indicates the mutation strategy and the algorithm is effective.

AB - Based on introduction of a novel mutation strategy, a new interactive genetic algorithm was proposed aiming on inefficient searching ability and local optimization of current interactive genetic algorithm caused by using a small population size and a few generations. The issues to implement were proposed. The efficiency of the proposed algorithm was analyzed. The simulation of function optimization and fashion design indicates the mutation strategy and the algorithm is effective.

KW - Fashion design

KW - Human fatigue

KW - Interactive genetic algorithm

KW - Mutation

UR - https://www.scopus.com/pages/publications/34248670149

M3 - 文章

AN - SCOPUS:34248670149

SN - 1004-731X

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SP - 1913

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JO - Xitong Fangzhen Xuebao / Journal of System Simulation

JF - Xitong Fangzhen Xuebao / Journal of System Simulation

IS - 9

ER -

Interactive genetic algorithm based on accelerating convergent mutation strategy

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