A Study on Efficient Nonlinear Optimization using the Landscape Modality of the Objective Function based on Neighborhood Structure
A Study on Efficient Nonlinear Optimization using the Landscape Modality of the Objective Function based on Neighborhood Structure
批准号:
26350443
负责人:
Takahama Setsuko
金额:
$3.16万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2014
资助国家:
日本
项目状态:
已结题
起止时间:
2014-04-01 至 2019-03-31
中文摘要
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英文摘要
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Improving Particle Swarm Optimization by Estimating Landscape Modality Using a Proximity Graph
通过使用邻近图估计景观模态来改进粒子群优化
DOI:
--
发表时间:
2015
期刊:
Proceedings of the First International Symposium on Swarm Behavior and Bio-Inspired Robotics
影响因子:
--
作者:
[Tetsuyuki Takahama, Setsuko Sakai, 阪井節子,高濱徹行, Tetsuyuki Takahama and Setsuko Sakai, Tetsuyuki Takahama and Setsuko Sakai, Tetsuyuki Takahama and Setsuko Sakai]
通讯作者:
Tetsuyuki Takahama and Setsuko Sakai
A Study on Selecting an Oblique Coordinate System for Rotation-Invariant Blend Crossover in a Real-Coded Genetic Algorithm", in A.Kadoya and H.Teramoto (eds.) Recent Studies in Economic Sciences: Information Systems, Project Managements, Economics, OR and
《实数编码遗传算法中旋转不变混合交叉选择斜坐标系的研究》,A.Kadoya 和 H.Teramoto(编)《经济科学最新研究:信息系统、项目管理、经济学或
DOI:
--
发表时间:
2017
期刊:
影响因子:
--
作者:
[Setsuko Sakai, Tetsuyuki Takahama, S.Sakai and T.Takahama]
通讯作者:
S.Sakai and T.Takahama
Particle Swarm Optimization with the Velocity Updating Rule According to an Oblique Coordinate System
基于斜坐标系的速度更新规则的粒子群优化
DOI:
--
发表时间:
2017
期刊:
Proceedings of the 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics
影响因子:
--
作者:
[Tetsuyuki Takahama and Setsuko Sakai]
通讯作者:
Tetsuyuki Takahama and Setsuko Sakai
パラメータの相関を考慮した適応型差分進化アルゴリズムJADE の改良
考虑参数相关性的自适应差分进化算法JADE的改进
DOI:
--
发表时间:
2014
期刊:
影响因子:
--
作者:
[Yao Zhao, Shinya Sato, Tetsuyuki Takahama and Setsuko Sakai, Tetsuyuki Takahama and Setsuko Sakai, 高濱節子, Tetsuyuki Takahama and Setsuko Sakai, 阪井節子,高濱徹行]
通讯作者:
阪井節子,高濱徹行
A Comparative Study on Grouping Methods for an Adaptive Differential Evolution, in M.Kitahara and H.Teramoto (eds.) Challenging Researches in Economic Sciences: Legal Informatics, Environmental Economics, Economics, OR and Mathematics
自适应微分进化分组方法的比较研究,M.Kitahara 和 H.Teramoto(编)《经济科学中的挑战性研究:法律信息学、环境经济学、经济学、OR 和数学》
DOI:
--
发表时间:
2017
期刊:
影响因子:
--
作者:
[Setsuko Sakai, Tetsuyuki Takahama, S.Sakai and T.Takahama, Setsuko Sakai and Tetsuyuki Takahama]
通讯作者:
Setsuko Sakai and Tetsuyuki Takahama
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