Results 11 to 20 of about 14,115 (167)
Zhejiang Daxue xuebao. Lixue ban, 2018 在多目标优化中，Pareto有效性体现了目标之间的妥协与补偿，而Geoffrion真有效性能保证补偿是有界的.本文对有无穷多个目标的优化问题引入了真有效性，完整保留了 Geoffrion的结构.基于一族锥，揭示了Geoffrion真有效性的特点及其与Pareto有效性的区别.并将Geoffrion真有效性的思想用于鲁棒优化，得到了著名的Hurwicz决策准则.
WANGFeng(王峰), LIUSanyang(刘三阳)
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Improved PESA algorithm based on comentropy [PDF]
, 2013 Aiming at the issue that the computational effort the complexity and the running time of PESA algorithm are increasing rapidly with the growth of the solutions set number, a comentropy-based PESA algorithm (C-PESA) by merg-ing the entropy value metric ...
Kun WANG +4 more
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Zhejiang Daxue xuebao. Lixue ban, 2018 在双边匹配研究中很少关注如何描述双方主体的失望-欣喜感知并将其引入双边匹配模型.通过对匹配主体失望-欣喜感知的刻画，提出了一种新的具有指标期望的多指标双边匹配决策方法.首先，针对具有指标期望的多指标双边匹配问题给出了数学描述；其次，匹配决策者通过对主体的指标期望值与对方主体真实值之间的比较分析，建立了双方主体的损益矩阵；然后，依据失望理论，构建双方主体在各指标下的感知效用矩阵，并集结得到双方主体的综合感知效用矩阵；进一步构建以双方主体可接受最低水平为约束，双方主体综合感知效用最大为目标的多目标优化模型 ...
LIMingyang(李铭洋) +3 more
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SDN based network resource selection multi-objective optimization algorithm [PDF]
, 2019 For the problem of coexistence of different resource utility objectives and mutual influence of resource selection strategies in the complex structure of software-defined network (SDN),an SDN based network resource selection multi-objective optimization ...
Han HU, Jiakuo ZUO, Nan BAO, Xu BAO
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Multi-objective Topology Optimization and Design for Industrial Robot [PDF]
, 2017 为了综合提高工业机器人的结构刚度、振动频率,降低结构质量,从而提高机器人整体的静动态性能,提出了一种基于多目标拓扑优化的机器人结构优化方法.该方法首先对机器人整机和部件进行分析,寻找机器人薄弱的零部件;然后对其进行多目标拓扑优化和模型重建,从而获得最佳的结构.将该方法成功应用于一款3kg装配、搬运等多功能机器 人的分析优化中,结果验证了该分析优化方法的可用性和有效性.In order to comprehensively improve the structure of industrial ...
褚旭阳, 许辉煌
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Improved satellite resource allocation algorithm based on DRL and MOP [PDF]
, 2020 In view of the multi-objective optimization (MOP) problem of sequential decision-making for resource allocations in multi-beam satellite systems,a deep reinforcement learning(DRL) based DRL-MOP algorithm was proposed to improve the system performance and
Junde SONG +4 more
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Jianzhu Gangjiegou Jinzhan, 2022 将快速非支配排序遗传算法和粗粒度-主从式并行遗传算法相结合，提出一种多目标并行遗传算法。该算法在同步优化消能减震结构上阻尼器的布置数量和布置位置时，既能多目标优化，又能并行运算，提高计算效率。采用该算法，以最大层间位移角和最大楼层加速度为多目标函数，优化一个14层钢框架结构上阻尼器的布置数量和布置位置。优化结果表明：该算法是逐渐收敛，具备较强收敛性；该算法优化结果适用于不同地震波，层间位移角减震系数最小为20.66%，加速度减震系数最小为18.35%；对于消能减震结构 ...
陈丰收, 吕述晖, 李安琪
doaj
Research on Evolutionary Multi-objective Optimization Algorithms and their Applications [PDF]
, 2015 现实世界中的许多优化问题通常可以转化为多目标优化问题。所谓的多目标优化问题是指那些需要同时优化多个相互作用且相互冲突的目标函数的优化问题。目前，采用进化算法求解多目标优化问题已经成为了多目标优化领域中的研究热点。许多研究学者相继提出了一些进化多目标优化算法用于求解各种类型的多目标优化问题，一些优秀算法已经成功地应用在实际工程项目中。本文在全面介绍进化多目标优化算法的理论知识以及研究现状的基础上，主要针对不同特征的多目标优化问题设计出效果显著的求解策略。本论文的主要研究工作如下： （1 ...
陈碧黎
core
Hidden Preference-based Multi-objective Evolutionary Algorithm Based on Chebyshev Distance [PDF]
, 2022 As an important branch of multi-objective optimization,preference-based multi-objective evolutionary algorithms have been widely used in scientific researches and engineering practices,which have important research significance.In order to obtain the ...
SUN Gang, WU Jiang-jiang, CHEN Hao, LI Jun, XU Shi-yuan
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Comprehensive framework for assessing and optimizing existing research networks
Conservation Biology, EarlyView.Abstract Conservation, monitoring, and research networks, or collections of ecological research sites unified under a common mission of data collection or a research mission, are essential infrastructure for understanding large landscapes. However, most networks developed opportunistically over decades rather than through systematic design, creating ...
Alyson East +2 more
wiley +1 more source