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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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Designer enzyme for green materials innovation: Lactate-polymerizing enzyme as a key catalyst

Seiichi Taguchi

《化学科学与工程前沿（英文）》 2017年第11卷第1期页码 139-142 doi: 10.1007/s11705-017-1636-0

摘要： Establishment of the regeneratable whole-cell catalyst platform for the?production of biobased polymeric materials is a?typical topic of synthetic biology. In this commentary, discovery story of a “lactate-polymerizing enzyme” (LPE)?and LPE-based?achievements for creating a new variety of polyesters with incorporated unnatural monomers are presented. Besides the importance of microbial platform itself is discussed referring to the “ballooning”- .

关键词： synthetic biology enzyme evolutionary engineering polyhydroxyalkanoate

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The impact of government incentives and penalties on willingness to recycle plastic waste: An evolutionary

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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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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Research on the ecological compensation standard of the basin pollution control project based on evolutionary

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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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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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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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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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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中国智慧城市演进评述 Personal View

廖睿智1,2,陈丽平3

《信息与电子工程前沿（英文）》 2022年第23卷第6期页码 966-974 doi: 10.1631/FITEE.2100407

摘要：

针对全球城市化带来的挑战，南加州大学的David Bollier提出将信息技术应用于城市规划的新理念。IBM响应了这一理念，于2008年启动“智慧地球”（Smart Planet）计划。此后，智慧城市概念迅速被全球各大城市采用，逐渐演变为先进城市的战略选择。本文通过回顾智慧城市概念的提出和探讨智慧城市的本质，来研究智慧城市发展和演进的趋势。具体而言，我们调查了中国智慧城市发展的关键驱动力，总结了中国与其他国家智慧城市的主要差异，讨论了建设未来智慧城市的4大重要挑战。

关键词：智慧城市；城市化；驱动力

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Layout optimization of steel reinforcement in concrete structure using a truss-continuum model

《结构与土木工程前沿（英文）》 2023年第17卷第5期页码 669-685 doi: 10.1007/s11709-023-0963-0

摘要： Owing to advancement in advanced manufacturing technology, the reinforcement design of concrete structures has become an important topic in structural engineering. Based on bi-directional evolutionary structural optimization (BESO), a new approach is developed in this study to optimize the reinforcement layout in steel-reinforced concrete (SRC) structures. This approach combines a minimum compliance objective function with a hybrid truss-continuum model. Furthermore, a modified bi-directional evolutionary structural optimization (M-BESO) method is proposed to control the level of tensile stress in concrete. To fully utilize the tensile strength of steel and the compressive strength of concrete, the optimization sensitivity of steel in a concrete–steel composite is integrated with the average normal stress of a neighboring concrete. To demonstrate the effectiveness of the proposed procedures, reinforcement layout optimizations of a simply supported beam, a corbel, and a wall with a window are conducted. Clear steel trajectories of SRC structures can be obtained using both methods. The area of critical tensile stress in concrete yielded by the M-BESO is more than 40% lower than that yielded by the uniform design and BESO. Hence, the M-BESO facilitates a fully digital workflow that can be extremely effective for improving the design of steel reinforcements in concrete structures.

关键词： bi-directional evolutionary structural optimization steel-reinforced concrete concrete stress reinforcement method hybrid model

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粒子群优化算法综述

杨维,李歧强

《中国工程科学》 2004年第6卷第5期页码 87-94

摘要：

粒子群优化（PSO）算法是一种新兴的优化技术，其思想来源于人工生命和演化计算理论。PSO通过粒子追随自己找到的最好解和整个群的最好解来完成优化。该算法简单易实现，可调参数少，已得到广泛研究和应用。详细介绍了PSO的基本原理、各种改进技术及其应用等，并对其未来的研究提出了一些建议。

关键词：群体智能演化算法粒子群优化

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DIP-MOEA：一种形式化表达决策者偏好的双重网格交互偏好多目标进化算法 Research Article

赵禄达1,2,王斌1,2,姜晓平1,2,卢义成3,胡以华1,2

《信息与电子工程前沿（英文）》 2022年第23卷第11期页码 1714-1732 doi: 10.1631/FITEE.2100508

摘要：

几乎所有现有的基于偏好的多目标进化算法(MOEA)给出的最终解集都与决策者偏好信息的表示存在一定距离。因此，提出一种多目标优化算法，称为双重网格交互式基于偏好的多目标进化算法(DIP-MOEA)，该算法明确考虑了决策者偏好。首先根据实际多目标优化问题(MOPs)的优化目标和决策者偏好映射隶属度函数，生成决策偏好度网格和偏好误差网格。其次，提出偏好度支配和偏好误差支配两种种群支配方式，并利用该方案更新两个网格中的种群。最后综合两个网格中的种群并结合决策者偏好交互信息可进行偏好多目标优化交互。为验证DIP-MOEA性能，我们在基本DTLZ系列函数和多目标背包问题上对DIP-MOEA进行测试，并将其与几种流行的基于偏好的多目标进化算法进行比较。实验结果表明，DIP-MOEA能较好表达决策者偏好信息，提供满足决策者偏好的解集，快速求解测试问题结果，并在最终解集的Pareto前沿分布性具有较好表现。

关键词：多目标进化算法（MOEA）；决策者偏好形式化；种群更新策略；偏好交互

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标题作者时间类型操作

Evolutionary engineering of

Jixian GONG, Nan DUAN, Xueming ZHAO

期刊论文

Designer enzyme for green materials innovation: Lactate-polymerizing enzyme as a key catalyst

Seiichi Taguchi

期刊论文

The impact of government incentives and penalties on willingness to recycle plastic waste: An evolutionary

Zhen Wang, Jiazhen Huo, Yongrui Duan

期刊论文