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演化算法 2

H∞控制；零和动态博弈；强化学习；自适应动态规划；极小极大Q-学习；策略迭代 1

MINLP 1

MTO 1

Pareto最优 1

一维应力波 1

三倍体 1

上下行解耦；用户接入；资源划分；异构蜂窝网络；联合博弈 1

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主体行为风险 1

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云网融合 1

代理成本 1

传播与演化 1

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信息不对称 1

免疫算法 1

免疫进化机制 1

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The impact of government incentives and penalties on willingness to recycle plastic waste: An evolutionarygame theory perspective

Zhen Wang, Jiazhen Huo, Yongrui Duan

《环境科学与工程前沿（英文）》 2020年第14卷第2期 doi: 10.1007/s11783-019-1208-2

摘要： • Punishments increase the participation probability of collectors and recyclers. • Policy-sponsored incentives make collectors and recyclers to participate earlier. • Recyclers are more sensitive to government punishments than collectors. Because governments have introduced policies involving incentives and penalties to promote the recycling of plastic waste, it is important to understand the impact of such incentives and penalties on the willingness of stakeholders to participate. In this study, government is included as a player, alongside waste collectors and recyclers, in a tripartite evolutionary game model of plastic waste recycling. The study explores the evolutionary equilibrium and performs a simulation analysis to elucidate the effect of government incentives and penalties on the willingness of other players to participate in recycling. Three conclusions are drawn from this research. First, an increase in incentives or in penalties increases the probability that collectors and recyclers will participate in the recycling process. Second, policy support incentives encourage collectors and recyclers to participate in plastic waste recycling earlier than subsidy incentives do. Finally, recyclers are more sensitive than collectors to government-imposed penalties.

关键词： Plastic waste Recycle Reuse Government incentives Government penalties Evolutionary game

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Research on the ecological compensation standard of the basin pollution control project based on evolutionarygame theory and by taking Xiangjiang River as a case

Dongbin HU, Huiwu LIU, Xiaohong CHEN, Yang CHEN

《工程管理前沿（英文）》 2019年第6卷第4期页码 575-583 doi: 10.1007/s42524-019-0044-1

摘要： Ecological compensation is a new resource and environment management model. As one of the main areas for implementing ecological compensation policies, basin ecological compensation has become an important measure for encouraging basin pollution control projects and improving the quality of regional economic development. By applying the basic game analysis of evolutionary game theory and building an evolutionary game model with a “reward–punishment” mechanism, this paper compares the interest-related decision-making behaviors of the upstream and downstream stakeholders of basin ecological compensation. By using data on the water quality of Xiangjiang River Basin, this paper calculates the rewards and penalties in different intervals by building a parametric regression mathematical model and employing the local linear regression method. Results show that a decline in water quality should be fined RMB 925500 yuan, an improvement in water quality should be awarded RMB 1227800 yuan, and a deteriorating water quality should be severely fined RMB 5087600 yuan.

关键词： evolutionary game ecological compensation standard Xiangjiang River Basin

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Optimal production strategy for auto manufacturers with government subsidies in competitive environments

《工程管理前沿（英文）》 doi: 10.1007/s42524-023-0261-5

摘要： Using the Hotelling model and evolutionary game theory, this paper studies the optimal production strategy of duopoly auto manufacturers and explores the impacts of two government policies (manufacturer and consumer subsidies) on strategies related to the production of electric vehicles (EVs) or fuel vehicles (FVs). The study finds that consumers’ environmental preferences have direct effects on manufacturers’ market shares and profits, which in turn, affect the manufacturers’ production strategy selection. Specifically, when consumer environmental preference is sufficiently high, both auto manufacturers will eventually choose to produce EVs; when it is moderate, only one with a cost advantage will choose to produce EVs. Finally, when it is low, neither auto manufacturer will produce EVs. The findings further reveal that the more significant the difference in EV production costs is, the more inclined auto manufacturers are to choose a different final stable strategy. Regardless of whether the government subsidizes manufacturers or consumers, the policy only works if subsidies reach a certain threshold. The study also identifies the conditions under which government subsidies are considered more cost-effective.

关键词： supply chain management low-carbon emission electric vehicle subsidy evolutionary game theory

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Evolutionary engineering of

Jixian GONG, Nan DUAN, Xueming ZHAO

《化学科学与工程前沿（英文）》 2012年第6卷第2期页码 174-178 doi: 10.1007/s11705-012-1276-3

摘要： Evolutionary engineering is a novel whole-genome wide engineering strategy inspired by natural evolution for strain improvement. Astaxanthin has been widely used in cosmetics, pharmaceutical and health care food due to its capability of quenching active oxygen. Strain improvement of , one of the main sources for natural astaxanthin, is of commercial interest for astaxanthin production. In this study a selection procedure was developed for adaptive evolution of strains under endogenetic selective pressure induced by additive in environmental niches. Six agents, which can induce active oxygen in cells, were added to the culture medium respectively to produce selective pressure in process of evolution. The initial strain, 2-1557, was mutagenized to acquire the initial strain population, which was then cultivated for 550 h at selective pressure and the culture was transferred every 48h. Finally, six evolved strains were selected after 150 generations of evolution. The evolved strains produced up to 48.2% more astaxanthin than the initial strain. Our procedure may provide a promising alternative for improvement of high-production strain.

关键词： evolutionary engineering astaxanthin strain improvement

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An application of game theory in distributed collaborative decision making

Angran XIAO

《机械工程前沿（英文）》 2019年第14卷第1期页码 85-101 doi: 10.1007/s11465-019-0523-4

摘要： In a distributed product realization environment, new paradigms and accompanying software systems are necessary to support the collaborative work of geographically dispersed engineering teams from different disciplines who have different knowledge, experience, tools and resources. To verify the concept of collaboration by separation, we propose a generic information communication medium to enable knowledge representation and exchange between engineering teams, a digital interface. Across digital interfaces, each engineering team maintains its own perspective towards the product realization problem, and each controls a subset of design variables and seeks to maximize its own payoff function subject to individual constraints. Hence, we postulate the use of principles from game theory to model the relationships between engineering teams and facilitate collaborative decision making without causing unnecessary information exchange or iteration across digital interfaces. A product design and manufacturing scenario is introduced to demonstrate the efficacy of using game theory to maintain a clean interface between design and manufacturing teams.

关键词： collaboration distributed product realization game theory digital interface

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基于候选方案排序的进化决策方法

荔建琦,陈火旺,王兵山

《中国工程科学》 2001年第3卷第1期页码 62-70

摘要：

由于无法得到准确的期望效用函数，在信息不完全和结果不确定的环境下作出决策是困难的。提出基于候选方案排序的进化决策方法。通常通过分析得出一组与候选方案期望效用相关的指标，设计决策规则归结为寻找二者之间的相关关系。如果将所有候选方案按其对效用有影响的指标分为n类，并利用进化算法在n!空间中搜索全部方案的期望效用排序，则根据此排序作出最佳决策。提出针对排序问题的遗传算法。该方法较少依赖专家知识，无须显式地构造期望效用函数，能有效处理非数值或非量化指标以及指标冲突和指标相关等问题，在带随机噪声环境下仍能获得稳健解。在仿真机器人控制器设计中的应用表明了该方法的有效性。

关键词：进化决策进化机器人排序问题遗传算法

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Developing a new model for simultaneous scheduling of two grand projects based on game theory and solving

Loghman PIRI, Vahidreza GHEZAVATI, Ashkan HAFEZALKOTOB

《工程管理前沿（英文）》 2022年第9卷第1期页码 117-134 doi: 10.1007/s42524-020-0115-3

摘要： Grand infrastructure projects, such as dam, power plant, petroleum, and gas industry projects, have several contractors working on them in several independent sub-projects. The concern of reducing the duration of these projects is one of the important issues among various aspects; thus, our aim is to fulfill the requirements by using the game theory approach. In this study, a mixed-integer programming model consisting of game theory and project scheduling is developed to reduce the duration of projects with a minimum increase in costs. In this model, two contractors in successive periods are entered into a step-by-step competition by the employer during dynamic games, considering an exchange in their limited resources. The optimum solution of the game in each stage are selected as the strategy, and the resources during the game are considered to be renewable and limited. The strategy of each contractor can be described as follows: 1) share their resources with the other contractor and 2) not share the resources with the other contractor. This model can act dynamically in all circumstances during project implementation. If a player chooses a non-optimum strategy, then this strategy can immediately update itself at the succeeding time period. The proposed model is solved using the exact Benders decomposition method, which is coded in GAMS software. The results suggest the implementation of four step-by-step games between the contractors. Then, the results of our model are compared with those of the conventional models. The projects’ duration in our model is reduced by 22.2%. The nominal revenue of both contractors has also reached a significant value of 46078 units compared with the relative value of zero units in the original model. Moreover, we observed in both projects the decreases of 19.5%, 20.9%, and 19.7% in the total stagnation of resources of types 1, 2, and 3, respectively.

关键词： project scheduling resource leveling between projects constrained resources game theory Benders decomposition

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Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge

《机械工程前沿（英文）》 2006年第1卷第1期页码 85-89 doi: 10.1007/s11465-005-0023-6

摘要：

A novel fuzzy clustering method based on chaos immune evolutionary algorithm (CIEFCM) is presented to solve fuzzy edge detection problems in image processing. In CIEFCM, a tiny disturbance is added to a filial generation group using a chaos variable and the disturbance amplitude is adjusted step by step, which greatly improves the colony diversity of the immune evolution algorithm (IEA). The experimental results show that the method not only can correctly detect the fuzzy edge and exiguous edge but can evidently improve the searching efficiency of fuzzy clustering algorithm based on IEA.

关键词： disturbance amplitude disturbance diversity generation processing

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基于空间收缩的并行演化算法

王涛,李歧强

《中国工程科学》 2003年第5卷第3期页码 57-61

摘要：

提出了一种基于空间收缩的求解MINLP问题的新算法。算法应用了快速有效的不完全演化搜索较优解的分布信息，通过分布信息定位最优解的可能分布，再由精英个体信息决定下次搜索空间。仿真结果表明该算法在搜索效率、应用范围、解的精确性和鲁棒性上都优于其他现存演化算法。

关键词：空间收缩演化算法 MINLP

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Benefit-based cost allocation for residentially distributed photovoltaic systems in China: A cooperative game

Xi LUO, Xiaojun LIU, Yanfeng LIU, Jiaping LIU, Yaxing WANG

《工程管理前沿（英文）》 2021年第8卷第2期页码 271-283 doi: 10.1007/s42524-019-0083-7

摘要： Distributed photovoltaic (PV) systems have constantly been the key to achieve a low-carbon economy in China. However, the development of Chinese distributed PV systems has failed to meet expectations because of their irrational profit and cost allocations. In this study, the methodology for calculating the levelized cost of energy (LCOE) for PV is thoroughly discussed to address this issue. A mixed-integer linear programming model is built to determine the optimal system operation strategy with a benefit analysis. An externality-corrected mathematical model based on Shapley value is established to allocate the cost of distributed PV systems in 15 Chinese cities between the government, utility grid and residents. Results show that (i) an inverse relationship exists between the LCOEs and solar radiation levels; (ii) the government and residents gain extra benefits from the utility grid through net metering policies, and the utility grid should be the highly subsidized participant; (iii) the percentage of cost assigned to the utility grid and government should increase with the expansion of battery bank to weaken the impact of demand response on increasing theoretical subsidies; and (iv) apart from the LCOE, the local residential electricity prices remarkably impact the subsidy calculation results.

关键词： solar photovoltaic cost allocation cooperative game theory Shapley value mixed-integer linear programming levelized cost of energy

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多目标优化与决策问题的演化算法

谢涛,陈火旺

《中国工程科学》 2002年第4卷第2期页码 59-68

摘要：

近年来，多目标优化与决策问题求解已成为演化计算的一个重要研究方向。为使演化算法的种群解能尽快收敛并均匀分布于多目标问题的非劣最优域，多目标演化算法的研究热点集中在基于Pareto最优概念的种群个体的比较与排序、适应值賦值与小生境技术等方面。介绍了多目标优化与决策技术的发展历史与分类方法，分析了基于Pareto最优概念与不基于Pareto最优概念两大类的多目标演化算法，并详细比较与分析了几种典型多目标演化算法。其次，论述了与多目标演化算法研究紧密相关的一些问题，如多目标问题解的性质，测试函数集设计，算法性能评估技术，算法收敛性，并行实现以及实际多目标优化问题的处理等。

关键词：演化计算多目标优化与决策 Pareto最优

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基于敲出障碍期权和博弈理论的项目投资决策分析

吴云,何建敏

《中国工程科学》 2005年第7卷第9期页码 44-48

摘要：

阐述了实物期权的基本原理和敲出障碍期权的内涵及其定价求解，提出了基于敲出障碍期权的实物期权定价方法和博弈理论的项目投资决策分析，分析了双寡头市场结构下的项目投资决策，给出了算例分析。

关键词：敲出障碍期权实物期权博弈理论投资决策

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海洋维权的博弈问题

王磊,陈华,康美泽,马晓川

《中国工程科学》 2019年第21卷第6期页码 80-86 doi: 10.15302/J-SSCAE-2019.06.015

摘要：

本文以博弈论观点探讨海洋维权问题，包括海洋维权在处理海洋争端中的作用和地位，我国海洋维权博弈的性质、方向及博弈要素。当前阶段，推动海洋维权博弈微观化、事务性处理，从维权斗争向联合管治方向发展符合我国的国家利益。将作为海洋维权“斗争前线”的海上维权区分为“争议海区进入”“渔船越界维权”“非合作渔业博弈模型”3类基本博弈过程，分别开展博弈分析，据此研判我国海上维权力量建设的重点方向。研究表明：提高海洋产业科技水平、发展维权技术手段可以有效改变博弈收益，从而实现有利的博弈均衡；发展高技术干扰手段、水下防护技术、海洋广域监视技术和远海渔业开发技术，是在重复博弈过程中获得优势地位的重要保障。

关键词：海洋维权博弈海上维权技术联合国海洋法公约

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免疫进化机制及其在时序模式挖掘中的应用研究

杨炳儒,秦奕青,宋泽锋

《中国工程科学》 2008年第10卷第4期页码 84-89

摘要：

针对目前动态数据挖掘中存在的问题，提出基于数据增量的动态挖掘进程概念；在动态挖掘进程和生物免疫进化过程的相似性基础上，提出了知识发现中的免疫进化机制的基本内涵；给出了基于免疫进化机制的时序模式挖掘算法及其实验分析，以验证理论的正确性和有效性。

关键词：动态数据挖掘免疫算法动态挖掘进程免疫进化机制时序模式挖掘

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RESPONSE OF WHEAT COMPOSITE CROSS POPULATIONS TO DISEASE AND CLIMATE VARIATION OVER 13 GENERATIONS

《农业科学与工程前沿（英文）》 2021年第8卷第3期页码 400-415 doi: 10.15302/J-FASE-2021394

摘要：

Since the F₅ (2005), three winter wheat composite cross populations (CCPs) based on germplasm specifically suitable for low-input conditions were subjected to natural selection under organic and conventional management. In the F₆, each CCP was divided into two parallel populations (12 CCPs in total) and maintained continuously until 2018. Commonly used modern cultivars with different disease susceptibilities were grown alongside to assess the agronomic performance of the CCPs. The organically managed CCPs were comparable in yield and foliar disease resistance to two continuously used reference cultivars, Achat and Capo. In contrast, under conventional management the cv. Capo outyielded the CCPs (Achat was not tested), highlighting the importance of parental cultivar choice for specific management systems. The CCPs were found to be moderately resistant to brown rust and even to the newly emerged stripe rust races prevalent in Europe since 2011. Differences between the CCPs were mainly due to parental genetic background and were significant in the first five generations, but were no longer so in the last five generations. In addition, these differences tended to vary depending on the experimental year and the environmental stresses present. In conclusion, the CCPs despite being derived from older cultivars are able to compete with more recently released reference cultivars under organic farming practices and represent a dynamic germplasm resource.

关键词： evolutionary breeding heterogeneous crop population management system

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标题作者时间类型操作

The impact of government incentives and penalties on willingness to recycle plastic waste: An evolutionarygame theory perspective

Zhen Wang, Jiazhen Huo, Yongrui Duan

期刊论文

Research on the ecological compensation standard of the basin pollution control project based on evolutionarygame theory and by taking Xiangjiang River as a case

Dongbin HU, Huiwu LIU, Xiaohong CHEN, Yang CHEN

期刊论文

Optimal production strategy for auto manufacturers with government subsidies in competitive environments

期刊论文

Evolutionary engineering of

Jixian GONG, Nan DUAN, Xueming ZHAO

期刊论文

An application of game theory in distributed collaborative decision making

Angran XIAO

期刊论文

基于候选方案排序的进化决策方法

荔建琦,陈火旺,王兵山