Multi-agent system application in accordance with game theory in bi-directional coordination network model

The multi-agent system is the optimal solution to complex intelligent problems. In accordance with the game theory, the concept of loyalty is introduced to analyze the relationship between agents' individual income and global benefits and build the logical architecture of the multi-agent system. Besides, to verify the feasibility of the method, the cyclic neural network is optimized, the bi-directional coordination network is built as the training network for deep learning, and specific training scenes are simulated as the training background. After a certain number of training iterations, the model can learn simple strategies autonomously. Also,as the training time increases, the complexity of learning strategies rises gradually. Strategies such as obstacle avoidance, firepower distribution and collaborative cover are adopted to demonstrate the achievability of the model. The model is verified to be realizable by the examples of obstacle avoidance, fire distribution and cooperative cover. Under the same resource background, the model exhibits better convergence than other deep learning training networks, and it is not easy to fall into the local endless loop.Furthermore, the ability of the learning strategy is stronger than that of the training model based on rules, which is of great practical values.

Generalized time-dependent generator coordinate method for induced fission dynamics

The generalized time-dependent generator coordinate method(TD-GCM)is extended to include pairing correlations.The correlated GCM nuclear wave function is expressed in terms of time-dependent generator states and weight functions.The particle–hole channel of the effective interaction is determined by a Hamiltonian derived from an energy density functional,while pairing is treated dynamically in the standard BCS approximation with time-dependent pairing tensor and single-particle occupation probabilities.With the inclusion of pairing correlations,various time-dependent phenomena in open-shell nuclei can be described more realistically.The model is applied to the description of saddle-to-scission dynamics of induced fission.The generalized TD-GCM charge yields and total kinetic energy distribution for the fission of 240Pu,are compared to those obtained using the standard time-dependent density functional theory(TD-DFT)approach,and with available data.

INTERFERENCE COORDINATION METHOD BASED ON GRAPH THEORY IN TWO-TIER CELLULAR NETWORKS

This paper studies an interference coordination method by means of spectrum allocation in Long-Term Evolution (LTE) multi-cell scenario that comprises of macrocells and femtocells. The purpose is to maximize the total throughput of femtocells while ensuring the Signal-to-Interference plus Noise Ratio (SINR) of the edge macro mobile stations (mMSs) and the edge femtocell Mobile Stations (fMSs). A new spectrum allocation algorithm based on graph theory is proposed to reduce the interference. Firstly, the ratio of Resource Blocks (RBs) that mMSs occupy is obtained by genetic algorithm. Then, after considering the impact of the macro Base Stations (mBSs) and small scale fading to the fMS on different RBs, multi-interference graphs are established and the spectrum is allocated dynamically. The simulation results show that the proposed algorithm can meet the Quality of Service (QoS) requirements of the mMSs. It can strike a balance between the edge fMSs' throughput and the whole fMSs' throughput.

Game Theory Based Decision Coordination Strategy of Agricultural Logistics Service Information System

Under the background of“Internet plus”rapid development,the agricultural logistics industry should apply information technology to every link of the agricultural product logistics industry chain.By making full use of the decision making module of the agricultural logistics information system,we can realize the full sharing of information and data resources,which makes the decision-making scheme of the agricultural logistics information system more optimized.In real economic society,the uncertainty and mismatch between the customer’s logistics service demand and the logistics service capability that the logistics service function provider can provide,that is,when the two information are asymmetric,how to use the third-party contract to coordinate the income and profit distribution of the two,to make the information system decision making more reasonable?This paper mainly studies the coordination scheme of agricultural logistics information system decision making under uncertain output and demand information by introducing the spot market.A joint coordination strategy based on revenue sharing and penalty feedback contracts proposes decentralized decision making based on game theory.Experiments show that the flexible ordering strategy proposed in this paper can reduce the logistics service supply chain’s uncertainty and significantly improve the logistics service supply chain’s overall income level through coordination contracts.

Coordination game model of co-opetition relationship on cluster supply chains

The research of cluster supply chains is a new direction and a hotspot of the industrial cluster theory. On the condition of the coordination game, the enterprises may be stuck on the non-efficient equilibrium status, which becomes an important problem that must be considered on cluster supply chains. A symmetrical coordination game model is constituted to describe the competition and cooperation relationship of the same-quality manufacturers on cluster supply chains. The methods of the non-cooperation game theory and the evolutionary game theory are respectively used to analyze the model, whose parameters＇ influences under each method are then compared. It can be concluded that the analysis of the evolutionary game theory is more realistic and practical. Finally, three approaches are considered to break away from being path-dependence locked-in non-efficient status during this coordination game evolutionary process, which provide the development of cluster supply chains with an effective forecasting and Pareto optimizing method.

Consumer Choice, Firm Performance and Channel Coordination in a Dual-Channel Distribution System

The expanding role of the Internet in consumer purchasing activities has created substantial new opportunities accessing to end-consumers. More and more manufacturers are beginning to sell products to potential consumers directly online while continuing to sell through the traditional brick-and-mortar retailers, a phenomenon leading to intense channel competition and conflicts. Using game theory, this research examines the effect of market segments, consumer choice and the acceptance of direct online channels on firm performance and the whole system’s profit. The analysis indicates that the addition of direct online channel does not necessarily harm the incumbent retailers. A win-win zone is proposed, in which both the manufacturer and the retailer benefit from the encroachment.

Prediction and coordination of the man-environment system—a case study in Jiaozuo City

In this paper, the new systematical theory and methodology have been applied to the research on the structure, development and coordination of man-environment system in Jiaozuo City. It has been proved that the application of self-organization theory of synergism is successful. Furthermore, on the basis of self-organization theory, a series of mathematical models have been established. The prediction of the status of man-environment system in Jiaozuo City by the year 2010, was made, and the trend of population growth, industrial development, environmental pollution were given. Finally, suggestions for the future development of Jiaozuo City were mentioned.

Coordination-theoretic approach to modelling grid service composition process

A grid service composite process is made up of complex coordinative activities.Developing the appropriate model of grid service coordinative activities is an important foundation for the grid service composition.According to the coordination theory,this paper elaborates the process of the grid service composition by using UML 2.0,and proposes an approach to modelling the grid service composition process based on the coordination theory.This approach helps not only to analyze accurately the task activities and relevant dependencies among task activities,but also to facilitate the adaptability of the grid service orchestration to further realize the connectivity,timeliness,appropriateness and expansibility of the grid service composition.

Structure and Coordination Investigation of Iron-ion Tinting Principle in Ferreous Glass

The tinting phenomena of iron oxide contained glasses were studied from aspects of the electronic configuration, the iron ions coordination fields and the ions structure in glass. Several iron ion tinting forms at different redox or COD (chemical oxygen demand) conditions and their influential factors were given necessary explanations. The results reveal that the Fe^(3+)-O-Fe^(2+) structure is the real tinting reason of iron involved glasses, whereas the Si^(4+)-O-Fe^(3+) and Si^(4+)-O-Fe^(2+) formulations modify the glass colours. Under oxidizing melting condition, the amount of 4/6-coordinated Fe^(3+) increases and makes the glass colour yellowish. Conversely, reducing melting condition makes the 6-coordinated Fe^(2+) increased and gives much blue tint to the glass. The conventional tank furnace melting the very strong reducing condition, which is of high COD glass batch, is not suitable. The high ratio of ferrous/ferric in glass can be obtained with a new refining technology which contains no or little amount of refining agent.

绿色转型:关系调适、基本样态及其发轫机制

经典环境社会学研究聚焦环境问题或环境衰退的学理解剖与理论阐释,呈现“环境衰退论”的叙事特征。为应对环境挑战,人类积极调整人与自然以及人与人之间的关系,推动社会的绿色转型,勾勒出资源消耗迈向资源善用、环境损害迈向生态修复、生态代谢断裂迈向生态循环以及失序发展迈向协调发展的基本轮廓。制度-政策势能、经济-技术变革和社会-文化浪潮构成绿色转型赖以发轫和发展的基本机制,其中,制度-政策势能在中国的绿色转型实践中扮演着关键性角色。当前,绿色转型虽然已不只是学术想象与学术倡导,但这种转型实践还处于趋势性状态,面临着不平衡性、不稳定性和不充分性的挑战。对此,环境社会学需要持续开展更为深入的学理研究。

思政课教学与管理育人协同的逻辑依据与实践进路

从理论上看,实践与认识的辩证关系原理、系统组分协同理论、内化与外化的统一规律、显性教育与隐性教育的互补性是思政课教学与管理育人协同的内在依据。从现实上看,思政课教学与管理育人协同是消解知行分离、育人冲突现象与解决由实际问题引发的学生思想问题的必然选择。实践中,推动思政课教学与管理育人协同,应促进思政课教师与管理者的角色交叉,搭建思政课教学与管理育人的协同平台,构建思政课教学与管理育人的联动机制。

基于凸包理论的含风电电力系统负荷恢复方案优化

大停电事故后,合理的负荷恢复策略对加快电力系统恢复、减少停电损失具有重要意义。针对标准交流潮流方程的非凸性导致负荷恢复模型求解效率低的问题,提出了基于凸包理论的含风电电力系统负荷恢复方案优化方法。首先,简要介绍了凸包理论以及非线性函数的凸包构建方法。其次,针对风电出力的不确定性,采用条件风险价值理论处理风电波动带来的风险,进而建立了直角坐标系下基于凸包理论的电力系统负荷恢复二阶锥优化模型,其中,交流潮流方程中的非线性项采用凸包表达。针对无法精确确定凸包参数的问题,提出了基于迭代更新的参数优化方法,减少因凸包引入的松弛误差。所提出的模型为混合整数二阶锥规划模型,可采用商业求解器高效求解。最后,采用IEEE 39节点系统和改进的广东电力系统验证了所提出模型的有效性。

共生理论对大型综合医院亚专科协调发展的启示

分工对立与融合共生的关系不仅存在于生物界,也存在于三级甲等综合医院大型专科的亚专科之间。在共生理论视域下,基于亚专科共生系统的4个基本要素,提出了提升共生单元自身能力、明确共生单元角色定位,建立高效信息系统、充分利用管理平台,完善利益协调机制、强化亚专科间联系,落实相关政策支持、加强共生协同意识的建议,为探索亚专科高质量发展的路径提供理论依据。

基于共生理论的复杂作战系统建模与分析

随着作战系统不断向集群化、协同化、无人化和智能化方向发展,传统的作战系统建模方法无法体现作战系统的复杂性与智能性。借鉴生物共生理论对复杂作战系统进行建模与分析,将复杂作战系统根据作战任务细化为各作战子系统,分析子系统中的作战单元、交互模式和作战环境,针对作战单元之间的协同交互关系建立数学模型,最终建立复杂作战系统的共生模型;利用共生原理与共生分析方法实现针对复杂作战系统协同效能、稳定性和均衡性以及演进方向的量化分析,构建基于共生理论的复杂作战系统建模与分析框架,为复杂作战系统的建模与分析提供一种新的理论和方法。

高速列车转向架动力学设计指标分解冲突博弈协调方法

为解决传统的高速列车动力学性能多目标优化方法缺乏考虑设计指标之间的相互作用且主观性强、可解释性差、效率低等问题,提出一种基于博弈论的高速列车转向架动力学设计指标分解协调方法。首先,基于灵敏度分析结果建立7个动力学性能设计指标与13个转向架设计参数之间的分解映射,分析了动力学设计指标分解中的冲突关系并提取了冲突要素;然后,将互相冲突的动力学设计指标的分解协调转化为一个博弈过程,确定博弈中的决策结构,构建了博弈主体的效用函数并建立冲突性能的主从博弈协调模型;其次,设计一种基于遗传算法和二次规划联合的Nash均衡求解算法,以Nash均衡作为设计指标分解结果;最后,以高速列车稳定性和曲线通过性能的博弈协调为例验证了博弈协调模型与求解方法的可行性和有效性。研究结果表明:该方法不依赖于人工设置即可快速得到与高速列车实际设计参数相近的结果,并且在该结果下临界速度、脱轨系数、轮重减载率等指标均满足要求。引入博弈论进行动力学性能多目标优化不仅可获得直线稳定性和曲线通过安全性相对均衡的动力学性能,还减少了设计迭代次数,提高了设计效率,且所求取的是数学意义上的Nash均衡,极大地降低了主观性。研究成果可为高速列车悬挂系统设计和动力学性能协调优化提供参考。

高速铁路网络协同发展对城市群空间重构的分形研究

高速铁路的建设发展,带动了城市群的协同发展与空间格局转变。为探索高速铁路网络协同发展对城市群空间结构的影响,基于分形理论,运用盒子维数和长度-半径维数描述高速铁路网络的覆盖均匀度与复杂程度,将豪斯多夫维数与齐夫定律相结合分析城市群规模序列结构,通过关联维数和集聚维数分析城市群空间结构相关性和集聚性。以高速铁路网络发展较为完善的5个城市群为例,比较分析高速铁路开通前后其空间结构的演变。结果表明,高速铁路网络覆盖均匀度不高,部分地区通达性良好,高速铁路建成后,辽中南等城市群的可达性明显得到改善,城市之间联络更加紧密,高速铁路的经济效应促进了城市群协同发展;关中平原等城市群呈现出集聚分布的趋势,因此应加强以高速铁路为基础、城际铁路为辅的快速交通系统建设。

碳交易下考虑公平关切的低碳供应链定价及协调机制研究

为落实政府碳减排要求并保证企业经济的可持续发展,碳交易机制成了一种有效的经济手段。碳交易背景下,制造企业为实现低碳目标而增加减排投资成本,往往更容易关注利润分配的公平性。此时,如何基于公平关切偏好进行减排投资和利润分配成为供应链协调决策的重点。以一家生产低碳产品的制造商和一家负责产品销售的零售商为对象,综合考虑碳交易机制、企业碳减排投资和公平关切偏好因素的影响,构建了一个可持续的低碳供应链,并利用博弈理论和收益分配绝对公平方法,探讨了制造商公平关切决策情形下供应链系统最优定价以及减排决策过程,进一步采用碳减排成本分担契约对供应链系统决策过程进行协调,并获得了最优的契约参数值。研究结果表明:制造商采取了提高产品批发价格和降低减排率的策略以减少因减排技术投资而产生的利润分配不公平对待,该策略损失了自身和合作者的利润。为了实现低碳供应链成员之间利益的有效协调,本文设计的成本分担契约在提高供应链系统减排率的同时还可以实现各成员利润的帕累托改进。另外,碳交易机制有利于促使企业进行碳减排投资以提高产品的减排水平。研究结果为进一步改善上下游企业之间的关系和促进供应链系统经济与环境的可持续发展提供参考。

浮选配位化学模型、溶液化学计算和扩展的DLVO理论在浮选机理研究中的应用进展

当把实验室的理论研究成果应用于生产实践时,经常发现两者间存在明显的差异,使得浮选研究,尤其是纯矿物研究的实用性大大降低,造成理论研究与实际应用结果存在差异的原因在于浮选过程的复杂性,研究中不仅要关注药剂在矿物表面吸附的化学原理,还需要对浮选所处的化学环境(溶液条件、伴生矿物)进行综合的考虑分析。近年来,随着矿物浮选配位化学模型的提出和溶液化学理论的不断完善,给实现理论研究指导实际生产的目标提供了可能性。因此,收集总结了国内外关于矿物浮选配位化学模型、溶液化学计算和扩展的DLVO理论在矿物浮选机理研究中的应用实例,从理论内容、计算过程和应用实例等方面进行介绍并加以评论,以期对将来的浮选研究起到一定的参考作用。