Proposal of an Interactive Evolutionary Algorithm with No Explicit Numerical Evaluation of Solutions by a Human User
Proposal of an Interactive Evolutionary Algorithm with No Explicit Numerical Evaluation of Solutions by a Human User
批准号:
23650119
负责人:
ISHIBUCHI Hisao
金额:
$2.25万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Challenging Exploratory Research
财政年份:
2011
资助国家:
日本
项目状态:
已结题
起止时间:
2011 至 2013
中文摘要
提出了一种在解评估中用户工作量最小的交互式进化计算算法。在所提出的算法中,一次只向用户呈现一个解。用户应该对所呈现的解决方案进行评估,以便确定所呈现的解决方案是否比先前的解决方案更好。在对每个解进行评估后,该算法更新一组候选解,并生成一个新的解来呈现给用户。所提出的算法能够在用户预先指定的解评估迭代次数后显示单个候选解。也就是说,在任意指定的解评估迭代次数之后,候选解的集合可以减少到单个解。
英文摘要
We proposed an interactive evolutionary computation algorithm with the minimum workload of a human user in solution evaluation. In the proposed algorithm, a single solution is presented to the user at a time. The user is supposed to evaluate the presented solution in order to decide whether the presented solution is better than the previous one or not. After the evaluation of each solution, the proposed algorithm updates a set of candidate solutions and generates a new solution to be presented to the user. The proposed algorithm is able to show a single candidate solution after a pre-specified number of iterations of solution evaluation by the user. That is, the set of candidate solutions can be decreased to a single solution after an arbitrarily specified number of iterations of solution evaluation.
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Problem formulation of interactive evolutionary computation with minimum requirement for human user's fitness evaluation ability
对人类用户适应度评估能力最低要求的交互式进化计算问题表述
DOI:
--
发表时间:
2012
期刊:
影响因子:
--
作者:
[H. Ishibuchi, K. Hoshino, and Y. Nojima]
通讯作者:
and Y. Nojima
Archive management in interactive evolutionary computation with minimum requirement for human user's fitness evaluation ability
对人类用户适应度评估能力要求最低的交互式进化计算中的档案管理
DOI:
10.1007/978-3-319-07173-2_31
发表时间:
2014
期刊:
Lecture Notes in Computer Science
影响因子:
--
作者:
[H. Ishibuchi, T. Sudo, and Y. Nojima]
通讯作者:
and Y. Nojima
DOI:
10.1007/978-3-642-37140-0_20
发表时间:
2013-03
期刊:
影响因子:
--
作者:
[H. Ishibuchi;M. Yamane;Y. Nojima]
通讯作者:
H. Ishibuchi;M. Yamane;Y. Nojima
DOI:
10.1145/2330163.2330232
发表时间:
2012-07
期刊:
影响因子:
--
作者:
[H. Ishibuchi;M. Yamane;Y. Nojima]
通讯作者:
H. Ishibuchi;M. Yamane;Y. Nojima
Interactive (1+1) evolutionary strategy with one-fifth success rule
五分之一成功规则的交互式(1 1)进化策略
DOI:
--
发表时间:
2014
期刊:
影响因子:
--
作者:
[T. Sudo, K. Ueba, Y. Nojima, and H. Ishibuchi]
通讯作者:
and H. Ishibuchi
共 6 条
Development and applications of an evolutionary multiobjective optimization algorithm for many-objective problems
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批准号:20300084
-
项目类别:Grant-in-Aid for Scientific Research (B)
-
资助金额:$12.06万
-
财政年份:2008
-
负责人:ISHIBUCHI Hisao
-
依托单位:
Development of evolutionary multiobjective optimization algorithms that can automatically adjust the balance between diversity and convergence
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批准号:17300075
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项目类别:Grant-in-Aid for Scientific Research (B)
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资助金额:$9.22万
-
财政年份:2005
-
负责人:ISHIBUCHI Hisao
-
依托单位:
Development of an Evolutionary Multiobjective Local Search Algorithm and Its Application to Scheduling Problems
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批准号:14380194
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项目类别:Grant-in-Aid for Scientific Research (B)
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资助金额:$3.33万
-
财政年份:2002
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负责人:ISHIBUCHI Hisao
-
依托单位:
海外基金