检索结果-内蒙古大学图书馆

18th International Conference on Artificial Neural Networks (ICANN 2008)

作者： Lahoz, David Mateo, Pedro Univ Zaragoza Dept Metodos Estadist E-50009 Zaragoza Spain

ISBN: (纸本)9783540875352

In this work a Multiobjective Genetic Algorithm is developed in order to obtain an appropriate ensemble of neural networks. The algorithm does not use any back-propagation method. Furthermore, it considers directly the classification error instead of the mean square error. To obtain the multiobjective environment, the training pattern set is divided into subsets such that each one has its own error function and then, all the error functions are considered simultaneously. The proposed algorithm is found to be competitive with other current methods in the literature.

关键词： Neural networks Genetic algorithms multiple objective programming

来源：评论

学校读者我要写书评

暂无评论

The Study of Two Stage Optimization Model of PV Installation Design

The Study of Two Stage Optimization Model of PV Installation...

引用

26th Chinese Control and Decision Conference (CCDC)

作者： Zhang, Jie Yin, Chao Jiao, Menggang Liu, Wenyu Northeast Dianli Univ Coll Sci Changchun 132012 Jilin Peoples R China

ISBN: (纸本)9781479937066

According to the laid problem of photovoltaic cells, first of all, we need to divide the wall which laid photovoltaic cells into pieces to lay more photovoltaic cells;Secondly, to make total electricity generation maximize and unit electricity generation cost as little as we can, we established the 0-1 multi-objective programming model;Thirdly, aiming at lowest cost, the inverter configuration optimization model is established;Finally, we modeling to the instance of the solar house design, and obtained reasonable scheme of the solution of photovoltaic battery lying and inverter configuration.

关键词： Photovoltaic cells Solar house Inverter multiple objective programming

来源：评论

学校读者我要写书评

暂无评论

Biobjective optimization over the efficient set methodology for pareto set reduction in multiobjective decision making: Theory and application

Biobjective optimization over the efficient set methodology ...

引用

作者： Homrich da Jornada, Daniel Texas A&M University

学位级别：Ph.D.

A large number of available solutions to choose from poses a significant challenge for multiple criteria decision making. This research develops a methodology that reduces the set of efficient solutions under consideration. This dissertation is composed of three major parts: (i) the formalization of a theoretical framework; (ii) the development of a solution approach; and (iii) a case study application of the methodology. In the first part, the problem is posed as a multiobjective optimization over the efficient set and considers secondary robustness criteria when the exact values of decision variables are subjected to uncertainties during implementation. The contributions are centered at the modeling of uncertainty directly affecting decision variables, the use of robustness to provide additional trade-off analysis, the study of theoretical bounds on the measures of robustness, and properties to ensure that fewer solutions are identified. In the second part, the problem is reformulated as a biobjective mixed binary program and the secondary criteria are generalized to any convenient linear functions. A solution approach is devised in which an auxiliary mixed binary program searches for unsupported Pareto outcomes and a novel linear programming filtering excludes any dominated solutions in the space of the secondary criteria. Experiments show that the algorithm tends to run faster than existing approaches for mixed binary programs. The algorithm enables dealing with continuous Pareto sets, avoiding discretization procedures common to the related literature. In the last part, the methodology is applied in a case study regarding the electricity generation capacity expansion problem in Texas. While water and energy are interconnected issues, to the best of our knowledge, this is the first study to consider both water and cost objectives. Experiments illustrate how the methodology can facilitate decision making and be used to answer strategic questions pertaining to the

关键词： multiple criteria decision making multiple objective programming Robustness andsensitivity analysis Optimization over the efficient set Pareto set reduction Multiobjective mixed binary programming Water-energy nexus Thesis

来源：评论

学校读者我要写书评

暂无评论

Goal programming: Realistic Targets for the Near Future

引用

JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS 2009年第3-4期16卷 79-110页

作者： Caballero, Rafael Gomez, Trinidad Ruiz, Francisco Univ Malaga Dept Appl Econ Math Calle Ejido 6 Malaga 29071 Spain

Goal programming (GP) can be regarded as one of the most widely used multicriteria decision-making techniques. In this paper, two surveys are carried out. First, the evolution of GP since its birth to the present time, in terms of number of publications, references, journals, etc., has been studied. Second, a more in-depth survey has been carried out, which covers the publications from year 2000 to the present time. All the references are listed, and some conclusions and future research lines have been extracted about the late trends of GP. Copyright (C) 2010 John Wiley & Sons, Ltd.

关键词： Goal programming multiple objective programming historical survey

来源：评论

学校读者我要写书评

暂无评论

Solving voting system by data envelopment analysis for assessing sustainability of suppliers

引用

GROUP DECISION AND NEGOTIATION 2019年第3期28卷 641-669页

作者： Izadikhah, Mohammad Saen, Reza Farzipoor Islamic Azad Univ Dept Math Coll Sci Arak Branch POB 38135-567 Arak Iran Islamic Azad Univ Dept Ind Management Fac Management & Accounting Karaj Branch POB 31485-313 Karaj Iran

Recently, sustainable supply chain management has attracted the attention of scholars and practitioners. Data envelopment analysis (DEA) is a useful tool for evaluating sustainability of suppliers. Ranking a system of voting is an important topic in DEA. Many firms apply voting systems to rank candidates. Generally, these kinds of methods rank candidates by their associated weights. In this paper, to increase discrimination power among candidates, a novel model for obtaining a suitable value of discriminating factor is proposed. Then, using the optimal value of the discriminating factor, a new model for calculating preference scores of candidates is presented. This model evaluates candidates based on different set of weights. To evaluate candidates based on common set of weights, using concept of ideal point, two new multiple objective programming models are proposed. The proposed method is applied for selecting the most sustainable suppliers that supply self-supporting cable for a power distribution company. Results show that candidates might be affected by changing the set of weights. Using our proposed models, full rankings are obtained.

关键词： Sustainable supply chain management (SSCM) Voting system Common set of weights (CSW) Data envelopment analysis (DEA) Ideal point multiple objective programming Min-max approach Min-sum approach

来源：评论

学校读者我要写书评

暂无评论

multiple Criteria Decision Making and Multiobjective Optimization - A Toolbox 14th

Multiple Criteria Decision Making and Multiobjective Optimiz...

引用

14th National Conference of Operational and Systems Research (BOS) / 15th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets (IWIFSGN)

作者： Kaliszewski, Ignacy Miroforidis, Janusz Podkopaev, Dmitry Polish Acad Sci Syst Res Inst Ul Newelska 6 PL-01447 Warsaw Poland

ISBN: (纸本)9783319655451;9783319655444

We present an integral approach to solving multiple criteria decision problems in sequences of intelligence, modeling, choice and review phases, often iterated, to identify the most preferred decision variant. The approach taken is human-centric, with the user taking the final decision being a sole and sovereign actor in the decision making process. To ensure generality, no assumption about the Decision Maker preferences or behavior is made. Likewise, no specific assumption about the underlying formal model is made. The intended goal of the approach is to lower the cognitive barrier related to unsupported use of multicriteria methodologies in day-to-day practice. We present successful application of this approach to a number of practical problems.

关键词： multiple objective programming multiple criteria decision making

来源：评论

学校读者我要写书评

暂无评论

A note on the interdependence of the objectives and their entropy regularization solution

A note on the interdependence of the objectives and their en...

引用

International Conference on Machine Learning and Cybernetics

作者： Liu, XW Da, QL Chen, LH SE Univ Econ & Management Sch Nanjing 210096 Jiangsu Peoples R China

ISBN: (纸本)0780378652

Considering that the concept of interdependence concept proposed by Carlsson and Full'er [1,2,3], found that it can only be applied to one dimension decision space, In this paper, we generalize the concept of objectives interdependence under the multidimensional conditions based on the gradients of the objectives. The new interdependence concept can reflect both the relationship and the degrees of the objectives' support or conflict. Then the application functions are constructed based on the interdependence grades of the objectives, and they are aggregated by entropy regularization procedure to solve the multiobjective programming problems. A numerical example shows the effect of the approach.

关键词： multiple objective programming application functions interdependence

来源：评论

学校读者我要写书评

暂无评论

Are soft skills conditioned by conflicting factors? A multiobjective programming approach to explore the trade-offs

引用

ECONOMIC ANALYSIS AND POLICY 2021年 72卷 18-40页

作者： Marcenaro-Gutierrez, O. D. Lopez-Agudo, L. A. Henriques, C. O. Univ Malaga Dept Appl Econ Stat & Econometr C Ejido 6 Malaga 29071 Spain Polytech Coimbra Coimbra Business Sch Res Ctr ISCAC Quinta Agr P-3040316 Coimbra Portugal Univ Coimbra INESC Coimbra DEEC P-3030290 Coimbra Portugal Univ Coimbra CeBER Fac Econ Av Dias Silva 165 P-3004512 Coimbra Portugal

Despite the relevance of noncognitive skills (i.e. soft skills) for individual development and for certain forms of employment, they tend to be overlooked in studies centred on educational performance. This study brings an additional contribution to the growing interest on these skills by exploring their main determinants and by providing an additional understanding of how they are influenced by socio-economic and family background. To this end, a multiobjective programming model has been developed, whose coefficients are instantiated by the results of several econometric estimations, in which distinct (and conflicting) aspects of multiple soft skills are considered. Hence, by coupling econometric with multiobjective optimisation modelling approaches we provide an overarching framework for assessing the trade-offs between the different dimensions of noncognitive skills. Data from the most populated region of Spain are used. Overall, our findings highlight the trade-off between different soft skills, which are particularly conditioned by students' gender. (C) 2021 Economic Society of Australia, Queensland. Published by Elsevier B.V.

关键词： Noncognitive skills Econometric analysis multiple objective programming

来源：评论

学校读者我要写书评

暂无评论

Explicit Location Covering Problems An alternative formulation and solution approach 5

Explicit Location Covering Problems An alternative formulati...

引用

2015 International Conference on Industrial Engineering and Operations Management (IEOM)

作者： Kellerman, H. J. Yadavalli, V. S. S. Univ Pretoria Dept Ind & Syst Engn Pretoria South Africa

ISBN: (纸本)9781479960651

Location covering problems is a widely researched field due to the fact that it is useful for siting of facilities in real-life situations. This article discusses the history of location covering problems and provides an alternative formulation for both the Location Set Covering Problem-Explicit and the Maximal Covering Location Problem-Explicit. The article further demonstrates how these models can be used to site reaction vehicles of the Private Security Industry in South Africa.

关键词： Facility location linear programming location problems multiple objective programming queuing theory

来源：评论

学校读者我要写书评

暂无评论

Optimization of testing protocols to screen for COVID-19: a multi-objective model

引用

HEALTH CARE MANAGEMENT SCIENCE 2024年第4期27卷 580-603页

作者： Moheb-Alizadeh, Hadi Warsing Jr, Donald P. Kouri, Richard E. Taghiyeh, Sajjad Handfield, Robert B. North Carolina State Univ Grad Program Operat Res Raleigh NC 27695 USA Nike Corp Portland OR USA North Carolina State Univ Poole Coll Management Raleigh NC 27695 USA North Carolina State Univ Dept Plant & Microbial Biol Raleigh NC 27695 USA North Carolina State Univ Fitts Dept Ind & Syst Engn Raleigh NC 27695 USA Discover Financial Serv Riverwoods IL 60015 USA

In this paper we develop a new multi-objective simulated annealing (MOSA) algorithm to generate optimal testing protocols for infectious diseases, using the COVID-19 pandemic as our context. A SEIR (susceptible-exposed-infected-recovered) epidemiological model is embedded as the computational platform for our MOSA algorithm to optimize testing protocols for screening across three joint objectives: minimum cost of test materials, minimum total infections over the testing horizon, and minimum number of false negatives over the horizon. We demonstrate the application of this optimization tool to recommend screening protocols for K-12 school districts in the U.S. State of North Carolina. Our approach is scalable by population coverage and can be employed at the level of individual school districts or regional collections of districts, individual schools or collections of schools across a district, business sites, or nursing homes, among other congregate settings where individuals may be screened prior to gaining entry to the site. The algorithm can be solved two ways, generating either independent optimal protocols across individual testing locations, or a common protocol covering all locations in the collection of testing sites. Our findings can be used to inform policy decisions to guide the development of effective testing strategies for controlling the spread of COVID-19 or other pandemic diseases in a wide range of congregate settings across various geographic regions.

关键词： OR in health services multiple objective programming Simulated annealing COVID-19 SEIR model

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：