检索结果-内蒙古大学图书馆

bi-level programming optimization method for cloud manufacturing service composition based on harmony search

JOURNAL OF COMPUTATIONAL SCIENCE 2018年第Jul.期27卷 462-468页

作者： Pan Yongdong Jinling Inst Technol Sch Software Engn Nanjing 211169 Jiangsu Peoples R China

Mobile computing diffluence has become critical technology to break out inherent processing capacity and memory limitation of mobile terminal equipment. Existing mobile cloud computing solution is to gain relatively little delay by visiting adjacent cloud service data center with abundant resources through mobile equipment, but it will increase network energy consumption. To solve the problem, research wireless-optical network model firstly and design new multi-objective model to consider network delay and energy consumption simultaneously, and because magnitude order of 2 indexes is different, single object optimization method is not applicable. So multi-objective water droplet algorithm is utilized to gain its second-best solution, and to improve performance of multi-objective water droplet algorithm simultaneously, improve population diversity of multi-objective intelligent water droplet algorithm by referring to NSGA II density design method and designing quick sorting method on the basis of individual density. Simulation result shows that performance of multi-objective intelligent water droplet algorithm is improved obviously through density design and multi-objective optimization to mobile cloud service of wireless-optical network is realized. (C) 2018 Elsevier B.V. All rights reserved.

关键词： Cloud service Multi-objective Cloud manufacturing service Low energy consumption bi-level programming Configuration

来源：评论

学校读者我要写书评

暂无评论

bi-level programming and multi-objective optimization for the distribution of resources in hierarchical organizations

引用

APPLIED MATHEMATICAL MODELLING 2024年第PartA期125卷 167-188页

作者： Olivares-Aguila, Jessica Vital-Soto, Alejandro Guerra-Vazquez, Francisco Cape Breton Univ Shannon Sch Business Sydney NS B1M 1A2 Canada Univ Amer Ex Hacienda Sta Catarina Martir Cholula 72810 Puebla Mexico

The decision regarding the hierarchical distribution of resources is crucial for many organizations that want to allocate such resources efficiently. At the upper level of the hierarchy, a decision -maker may have an objective and a set of feasible solutions partially determined by the lower level. Nevertheless, the upper level can influence but not control the decision-maker at the lower level. Moreover, the objectives of the upper and lower levels are conflicting. Hence, the hierar-chical distribution of resources can be formulated as a bi-level programming model. This paper reformulates the hierarchical allocation of resources. The Hooke-Jeeves (HJ) algorithm and the hybrid scatter search-Nelder-Mead (SSNM) method are proposed to solve the newly formulated problem. The problem is also analyzed from a multi-objective perspective to equally prioritize the upper and lower levels while subjecting each to an interdependent set of constraints;a multi -objective scatter search algorithm (MSSA) was developed for that purpose. Tailor-made in-stances were also designed for the implementation of the developed algorithms. The findings demonstrated that the HJ algorithm provides the best solution according to the upper-level objective function. However, it does not guarantee the best result for the lower level. In com-parison, MSSA has a set of best possible solutions for both objectives. The hybrid SSNM method could not match the results provided by the former methods.

关键词： bi-level programming Multi -objective optimization Nelder-Mead Hooke-Jeeves Scatter search Hierarchical resource allocation

来源：评论

学校读者我要写书评

暂无评论

bi-level programming for joint order acceptance and production planning in industrial robot manufacturing enterprise

引用

COMPUTERS & INDUSTRIAL ENGINEERING 2024年 196卷

作者： Zhang, Mingyu Kong, Min Shi, Houbo Tan, Weimin Fathollahi-Fard, Amir M. Yaseen, Zaher Mundher Anhui Normal Univ Sch Econ & Management Wuhu 241000 Peoples R China Hefei Univ Technol Sch Management Hefei 230009 Peoples R China Macao Univ Sci & Technol Fac Innovat Engn Dept Engn Sci Taipa 999078 Macau Peoples R China Al Ayen Univ Sci Res Ctr New Era & Dev Civil Engn Res Grp Nasiriyah 64001 Thi Qar Iraq King Fahd Univ Petr & Minerals Civil & Environm Engn Dept Dhahran 31261 Saudi Arabia Univ Quebec Montreal Dept Analyt Operat & Technol Informat BP 8888Succ Ctr Ville Montreal PQ H3C 3P8 Canada

Effectively addressing the Order Acceptance and Production Planning (OAP) problem is crucial for industrial robot manufacturers, particularly considering the rapid expansion of the industrial robot market. A bi-level programming model is structured to enhance synergies in response to department reformation within an industrial robot manufacturer. The upper-level model focuses on order acceptance, considering rejection and delay penalty costs, aiming to maximize enterprise profit. The lower-level model concentrates on product production, aiming to minimize the total sum of production costs and Work-In-Progress (WIP) holding costs. Detailed constraints related to material readiness, including inventory levels and procurement lead times, are comprehensively examined. Given the NP-hard complexity of this multi-objective problem, a meta-heuristic algorithm Whale Optimization Algorithm (WOA) is implemented. To enhance WOA's optimization capabilities, two heuristic algorithms, Solution Improvement policy (I-algorithm) and Heuristic-based acceleration strategy (H-algorithm), are introduced, resulting in the development of WOA-IH. The experimental evidence suggests that the proposed model facilitates decision coordination for manufacturers, particularly in order management, production planning, and material procurement. Furthermore, this study contributes to applying bi-level programming theory in managing supply chains for industrial robotics.

关键词： Industrial robot Order acceptance Production planning bi-level programming Meta-heuristic Algorithm

来源：评论

学校读者我要写书评

暂无评论

bi-level programming model for post-disaster emergency supplies scheduling with time windows and its algorithm

引用

INTERNATIONAL JOURNAL OF AUTOMATION AND CONTROL 2022年第1期16卷 45-63页

作者： Wang, Fuyu Li, Yan Chen, Jingjing Anhui Univ Technol Sch Management Sci & Engn Maanshan 243032 Anhui Peoples R China

Aiming at the emergency supplies scheduling problem in disaster situations, a bi-level programming model with time window constraints is built by considering the actual characteristics and demand of emergency material dispatching, with the minimum system response time as the upper objective and the minimum total system cost as the lower objective. According to the characteristics of mutual correlation and restriction between the upper and lower levels of the emergency supplies scheduling model, a two-stage heuristic algorithm is designed. At the first stage, the algorithm uses the clustering method for location-allocation and at the second stage uses the improved glowworm swarm optimisation algorithm for transportation route arrangement. Then, the simulation experiment is performed, which shows that the model and algorithm can effectively solve the post-disaster emergency supplies scheduling problem, and the designed algorithm has good performance and high computational efficiency.

关键词： time windows bi-level programming heuristic algorithm emergency supplies scheduling

来源：评论

学校读者我要写书评

暂无评论

bi-level programming modeling and hierarchical hybrid algorithm for antimissile dynamic firepower allocation problem with uncertain environment

引用

PATTERN ANALYSIS AND APPLICATIONS 2017年第1期20卷 287-306页

作者： Fan, Cheng-li Xing, Qing-hua Fu, Qiang Zou, Zhi-gang Air Force Engn Univ Sch Air & Missile Def Xian 710051 Peoples R China

Aiming at the shortcomings of antimissile dynamic firepower allocation (ADFA) researches under uncertain environment, the fuzzy chance-constrained bi-level programming model with complex constraints is proposed by introducing the uncertain programming theory. Firstly, maximization cost-effectiveness ratio and earliest interception time as the upper and the lower objective functions of the model, respectively, are used. In order to close to the battlefield environment, the model constraint includes interception time window, effective damage lower bound and intercept strategy, etc. Secondly, a particle coding scheme and repairing scheme are given with hierarchical structure for multi-constrained bi-level ADFA problem. Furthermore, the improved variable neighborhood PSO algorithm with convergence criterions and the PSO algorithm with doubt and repulsion factor (PSO-DR) are effectively combined. On these bases, the hierarchical hybrid fuzzy particle swarm optimization algorithm is presented with fuzzy simulation technique. Finally, the results of comparison show the proposed algorithm has stronger global searching ability and faster convergence speed, which can effectively solve large-scale ADFA problem and adapt to the requirements of real-time decision.

关键词： Dynamic firepower allocation bi-level programming Fuzzy chance-constrained programming Fuzzy simulation Hierarchical hybrid particle swarm optimization

来源：评论

学校读者我要写书评

暂无评论

bi-level programming FOR STOCHASTIC DYNAMIC TRAFFIC NETWORK UNDER ATIS

BI-LEVEL PROGRAMMING FOR STOCHASTIC DYNAMIC TRAFFIC NETWORK ...

引用

10th International Conference of Hong-Kong-Society-for-Transportation-Studies

作者： Ren, Hualing Gao, Ziyou Ren, Wei Beijing Jiaotong Univ Sch Traff & Transportat Beijing 100044 Peoples R China

ISBN: (纸本)9789889884710

In the study of advanced traveler information systems (ATIS), an important factor that controls the benefits of ATIS is the level of market penetration, that is, the penetration of the travellers with ATIS services in all the travellers. Study shows that, the congestion extent of the urban traffic system will not always decrease through the increasing of the market penetration of ATIS. In this paper, a bi-level programming model is presented to determine the optimal service price and the market penetration of ATIS, in which the lower problem is a stochastic dynamic user optimal model. All the travellers are divided into two classes, those equipped with ATIS services and those without ATIS;furthermore, the travellers with ATIS are also divided into two types, namely, optimist and pessimist. The travellers choose their routes according to stochastic dynamic user optimal principle. Finally, A chaotic approach is used to solve the bi-level programming model.

关键词： market penetration of ATIS bi-level programming stochastic dynamic user optimal chaotic approach

来源：评论

学校读者我要写书评

暂无评论

bi-level programming for the Strategic Energy Management of a Smart City

Bi-Level Programming for the Strategic Energy Management of ...

引用

IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS)

作者： Carli, Raffaele Dotoli, Mariagrazia Andria, Gregorio Lanzolla, Anna Maria Lucia Politecn Bari Dept Elect & Informat Engn Bari Italy

ISBN: (纸本)9781509023707;9781509023691

This paper addresses the emerging need for tools devoted to the strategic energy management of smart cities. We propose a novel decision model that supports the energy manager in governing the smart city while addressing different urban sectors with an integrated and structured energy retrofit planning. A bi-level programming model integrates several decision making units (decision panels), each focusing on the energy optimization of a specific urban subsystem, and a central decision unit. We solve the bi-level decision problem by a game theoretic distributed approach. We apply the developed decision model to the case study of the city of Bari (Italy), where a smart city program has recently been launched.

关键词： smart city energy management energy efficiency decision support system distributed optimization bi-level programming

来源：评论

学校读者我要写书评

暂无评论

bi-level programming of AC/DC Hybrid Distribution System

Bi-level Programming of AC/DC Hybrid Distribution System

引用

IEEE/IAS Conference on Industrial and Commercial Power System Asia (IEEE I and CPS Asia)

作者： Wang, Chunyi Ding, Zijia Zhang, Xingyou He, Zhaohui Liu, Huali Xu, Zhendong State Grid Shandong Elect Power Co Jinan Peoples R China State Grid Shandong Elect Power Co Jining Power Supply Co Jining Peoples R China State Grid Shandong Elect Power Co Elect Power Res Inst Jinan Peoples R China Shandong Univ Sci & Technol Coll Elect Engn & Automat Qingdao Peoples R China

ISBN: (纸本)9781665434980

With the wide application of distributed generation and advanced power electronic technology, AC / DC hybrid distribution network provides a new idea for the development of distribution network. Therefore, the AC-DC hybrid distribution network planning is of great significance. This paper presents a bi-level programming model of AC / DC distribution network considering the randomness of DC type of bus and connecting line. The model uses Monte Carlo method to simulate the uncertain output curve of load demand and photovoltaic distributed generation, and divides the planning scheme into upper planning model and lower optimization model: the upper planning model uses genetic membrane algorithm, with the lowest grid construction cost and operation cost as the objective function;the lower optimization model uses interior point method, with the lowest operation cost as the objective function. The upper and lower layer models are solved alternately to obtain the optimal network configuration.

关键词： AC / DC hybrid distribution network bi-level programming genetic membrane algorithm interior point method optimal network configuration

来源：评论

学校读者我要写书评

暂无评论

bi-level programming Model for Inventory Control of Deteriorating Items Based on VMI

Bi-level Programming Model for Inventory Control of Deterior...

引用

International Conference on Logistics Systems and Intelligent Management

作者： Lan, Hongjie Liu, Zhigao Li, Ruxian Wang, Ruijiang Beijing Jiaotong Univ Sch Econ & Management Beijing 100044 Peoples R China

ISBN: (纸本)9781424473281

In this paper we established an inventory control model for deteriorating items under the circumstances of vendor-managed inventory. With the assumption that vendor integrates the small amount of order quantities from downstream enterprises into a large quantity so as to minimize relevant costs, we studied a quantity-based integrated dispatching and inventory policy for the vendor. Then, a bi-level programming model is proposed and a Genetic Algorithm is designed to solve the model. At last, a numerical example is used to verify the effectiveness and feasibility of the model.

关键词： Deteriorating Items Inventory Control Policy Based on Quantity bi-level programming

来源：评论

学校读者我要写书评

暂无评论

bi-level programming Method for Regional Energy Expansion Optimization

Bi-level Programming Method for Regional Energy Expansion Op...

引用

China International Conference on Electricity Distribution (CICED)

作者： Zhu Li Wang Rongliang Wu Shikai Wei Wei Luo Fengzhang Maintenance Co State Grid Tianjin Elect Power Co Tianjin 300250 Peoples R China Tianjin Univ Key Lab Smart Grid Minist Educ Tianjin 300072 Peoples R China

ISBN: (纸本)9781538667750

When facing the worldwide energy and environmental issues , the non-sustainability of traditional power planning method which only depends on increasing the power station investment in order to meet the rapid growth of electricity demand has emerged onto the surface. Based on the integrated resource strategic planning (IRSP) , this paper established a bi-level programming model for regional energy expansion optimization of active distribution networks , considering the photovoltaic power generation (PV) and interruptible load (IL) as the generalized power source from the perspective of the whole society. The upper level programming model optimized the power installation capacity of the generalized power sources by minimizing the total cost of power supply construction and maintenance, power generation and pollutants treatment. The lower level programming model , which took the minimum network loss as the purpose, located and sized the generalized power sources. Finally , this paper employed the simplex method and improved PSO algorithm to solve this bi-level programming problem. Comparing with the traditional planning, the proposed model and the solution method has an obvious effect of social benefit in energy-saving, emission-reduction and resource utilization rate improvement, which is verified by the simulation analysis of IEEE33 bus system.

关键词： active distribution network distribution network planning integrated resource strategic planning (IRSP) bi-level programming photovoltaic power generation interruptible load locating and sizing

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：