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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
关键词: Plastic waste Recycle Reuse Government incentives Government penalties Evolutionary game
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
关键词: evolutionary game ecological compensation standard Xiangjiang River Basin
《工程管理前沿(英文)》 2024年 第11卷 第2期 页码 345-355 doi: 10.1007/s42524-023-0261-5
关键词: supply chain management low-carbon emission electric vehicle subsidy evolutionary game theory
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
关键词: evolutionary engineering astaxanthin strain improvement
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
关键词: collaboration distributed product realization game theory digital interface
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
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。
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
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
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
关键词: project scheduling resource leveling between projects constrained resources game theory Benders decomposition
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
关键词: solar photovoltaic cost allocation cooperative game theory Shapley value mixed-integer linear programming levelized cost of energy
王涛,李歧强
《中国工程科学》 2003年 第5卷 第3期 页码 57-61
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。
谢涛,陈火旺
《中国工程科学》 2002年 第4卷 第2期 页码 59-68
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。
可信联邦学习进化优化算法综述 Review
Qiqi Liu,Yuping Yan,Yaochu Jin,Xilu Wang,Peter Ligeti,Guo Yu,Xueming Yan
《工程(英文)》 2024年 第34卷 第3期 页码 23-42 doi: 10.1016/j.eng.2023.10.006
With the development of edge devices and cloud computing, the question of how to accomplish machine learning and optimization tasks in a privacy-preserving and secure way has attracted increased attention over the past decade. As a privacy-preserving distributed machine learning method, federated learning (FL) has become popular in the last few years. However, the data privacy issue also occurs when solving optimization problems, which has received little attention so far. This survey paper is concerned with privacy-preserving optimization, with a focus on privacy-preserving data-driven evolutionary optimization. It aims to provide a roadmap from secure privacy-preserving learning to secure privacy-preserving optimization by summarizing security mechanisms and privacy-preserving approaches that can be employed in machine learning and optimization. We provide a formal definition of security and privacy in learning, followed by a comprehensive review of FL schemes and cryptographic privacy-preserving techniques. Then, we present ideas on the emerging area of privacy-preserving optimization, ranging from privacy-preserving distributed optimization to privacy-preserving evolutionary optimization and privacy-preserving Bayesian optimization (BO). We further provide a thorough security analysis of BO and evolutionary optimization methods from the perspective of inferring attacks and active attacks. On the basis of the above, an in-depth discussion is given to analyze what FL and distributed optimization strategies can be used for the design of federated optimization and what additional requirements are needed for achieving these strategies. Finally, we conclude the survey by outlining open questions and remaining challenges in federated data-driven optimization. We hope this survey can provide insights into the relationship between FL and federated optimization and will promote research interest in secure federated optimization.
关键词: Federated learning Privacy-preservation Security Evolutionary optimization Data-driven optimization Bayesian optimization
吴云,何建敏
《中国工程科学》 2005年 第7卷 第9期 页码 44-48
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。
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
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。
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
Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge
期刊论文
Developing a new model for simultaneous scheduling of two grand projects based on game theory and solving
Loghman PIRI, Vahidreza GHEZAVATI, Ashkan HAFEZALKOTOB
期刊论文
Benefit-based cost allocation for residentially distributed photovoltaic systems in China: A cooperative game
Xi LUO, Xiaojun LIU, Yanfeng LIU, Jiaping LIU, Yaxing WANG
期刊论文