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Evolutionary Algorithms for Multi-objective Optimization and Decision-Making Problems

Xie Tao Chen Huowang

Strategic Study of CAE 2002, Volume 4, Issue 2,   Pages 59-68

Abstract:

Multi-objective optimization (MOO) and decision-making (DM) has become an important research areaof evolutionary computations in recent years.The researches on multi-objective evolutionary algorithms (MOEA) focus mainly on the Pareto-based comparisonThis paper presents an introduction to the history and classification of multi-objective optimizationand decision-making techniques, analyzes both the Pareto-based and non-Pareto-based evolutionary algorithms

Keywords： evolutionary algorithms     multi-objective optimization and decision-making     Pareto optimal    

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

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5,   Pages 669-685 doi: 10.1007/s11709-023-0963-0

Abstract: Based on bi-directional evolutionary structural optimization (BESO), a new approach is developed in thisFurthermore, a modified bi-directional evolutionary structural optimization (M-BESO) method is proposedTo fully utilize the tensile strength of steel and the compressive strength of concrete, the optimization

Keywords： bi-directional evolutionary structural optimization     steel-reinforced concrete     concrete stress     reinforcement    

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Survey on Particle Swarm Optimization Algorithm

Yang Wei,Li Chiqiang

Strategic Study of CAE 2004, Volume 6, Issue 5,   Pages 87-94

Abstract:

Particle swarm optimization (PSO) is a new optimization technique originating from artificial lifeand evolutionary computation.The algorithm completes the optimization through following the personal best solution of each particle

Keywords： swarm intelligence     evolutionary algorithm     particle swarm optimization    

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Evolutionary engineering of

Jixian GONG, Nan DUAN, Xueming ZHAO

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 2,   Pages 174-178 doi: 10.1007/s11705-012-1276-3

Abstract: Evolutionary engineering is a novel whole-genome wide engineering strategy inspired by natural evolution

Keywords： evolutionary engineering     astaxanthin     strain improvement    

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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

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 2, doi: 10.1007/s11783-019-1208-2

Abstract: study, government is included as a player, alongside waste collectors and recyclers, in a tripartite evolutionaryThe study explores the evolutionary equilibrium and performs a simulation analysis to elucidate the effect

Keywords： Plastic waste     Recycle     Reuse     Government incentives     Government penalties     Evolutionary game    

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A solution to the unit commitment problem—a review

B. SARAVANAN, Siddharth DAS, Surbhi SIKRI, D. P. KOTHARI

Frontiers in Energy 2013, Volume 7, Issue 2,   Pages 223-236 doi: 10.1007/s11708-013-0240-3

Abstract: Unit commitment (UC) is an optimization problem used to determine the operation schedule of the generatingMany algorithms have been invented in the past five decades for optimization of the UC problem, but still

Keywords： unit commitment (UC)     optimization     deterministic load     stochastic load     evolutionary programming (EP)     hybrid    

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Evolutionary Decision Making Based on Candidates Ranking

Li Jianqi,Chen Huowang,Wang Bingshan

Strategic Study of CAE 2001, Volume 3, Issue 1,   Pages 62-70

Abstract: aware of the defects of traditional decision analysis techniques, a new decision making method named Evolutionaryof the candidates are classified according to the indexes relevant to their expected utility, then Evolutionary

Keywords： evolutionary decision making     evolutionary robotics     genetic algorithms for ordering problem    

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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

Frontiers of Engineering Management 2019, Volume 6, Issue 4,   Pages 575-583 doi: 10.1007/s42524-019-0044-1

Abstract: By applying the basic game analysis of evolutionary game theory and building an evolutionary game model

Keywords： 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

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1,   Pages 85-89 doi: 10.1007/s11465-005-0023-6

Abstract:

A novel fuzzy clustering method based on chaos immune evolutionary algorithm (CIEFCM) is presented

Keywords： disturbance amplitude     disturbance     diversity     generation     processing    

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A Parallel Evolutionary Algorithm Based on Space Contraction

Wang Tao,LiQiqiang

Strategic Study of CAE 2003, Volume 5, Issue 3,   Pages 57-61

Abstract: The result shows that it is better than other existing evolutionary algorithms in search efficiency,

Keywords： space contraction     evolutionary algorithms     MINLP    

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The Real Time Optimization Research and Application for Transportation Scheduling System About MaterialQuarry of Cement With Genetic and Evolutionary Algorithm

Dai Jianyong,Yang Shijiao,Gu Desheng

Strategic Study of CAE 2006, Volume 8, Issue 8,   Pages 77-80

Abstract:

According to complexity and non-lineer character of transportation scheduling system in surface mine, the real time transportation scheduling system model is set up for the transportation scheduling system subject to many factors such as mining craft, yield, quality, etc., with all arithmetic operators of genetic algorithms such as selection, crossover, mutation, interpotation, and migration. The model has been adopted by production transportation scheduling system of raw material quarry in Shaofeng Cement Group, which not only reduced transportation cost, but also harmonized relations among mining craft, yield, quality, and got better effect. In the meantime, it will be of benefit to information construction of quarry enterprises and others materials circulation enterprises.

Keywords： genetic algorithms     transportation scheduling system     transportation cost    

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A many-objective evolutionary algorithm based on decomposition with dynamic resource allocation for irregularoptimization Research Articles

Ming-gang Dong, Bao Liu, Chao Jing,jingchao@glut.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1119-1266 doi: 10.1631/FITEE.1900321

Abstract: The multi-objective optimization problem has been encountered in numerous fields such as high-speed trainConsidering this situation, we propose a many-objective evolutionary algorithm based on decompositionwith (MaOEA/D-DRA) for irregular optimization.An evolutionary population and an are used in the search process, and information extracted from theis used to guide the evolutionary population to different search regions.

Keywords： Many-objective optimization problems     Irregular Pareto front     External archive     Dynamic resource allocation    

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Evolutionary Immune Mechanism and Its Application on Temporal Sequential Pattern Mining

Yang Bingru,Qin Yiqing,Song Zefeng

Strategic Study of CAE 2008, Volume 10, Issue 4,   Pages 84-89

Abstract: Next the evolutionary immune mechanism in KDD is illustrated, based on a comparison between the dynamic

Keywords： dynamic data mining     immune algorithm     dynamic mining process     evolutionary immune mechanism     temporal    

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

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 3,   Pages 400-415 doi: 10.15302/J-FASE-2021394

Abstract:

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.

 

Keywords： evolutionary breeding     heterogeneous crop population     management system    

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

Frontiers of Engineering Management doi: 10.1007/s42524-023-0261-5

Abstract: Using the Hotelling model and evolutionary game theory, this paper studies the optimal production strategy

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

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Title Author Date Type Operation

Evolutionary Algorithms for Multi-objective Optimization and Decision-Making Problems

Xie Tao Chen Huowang

Journal Article

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

Journal Article

Survey on Particle Swarm Optimization Algorithm

Yang Wei,Li Chiqiang

Journal Article

Evolutionary engineering of

Jixian GONG, Nan DUAN, Xueming ZHAO

Journal Article

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

Zhen Wang, Jiazhen Huo, Yongrui Duan

Journal Article

A solution to the unit commitment problem—a review

B. SARAVANAN, Siddharth DAS, Surbhi SIKRI, D. P. KOTHARI

Journal Article

Evolutionary Decision Making Based on Candidates Ranking

Li Jianqi,Chen Huowang,Wang Bingshan

Journal Article

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

Dongbin HU, Huiwu LIU, Xiaohong CHEN, Yang CHEN

Journal Article

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

Journal Article

A Parallel Evolutionary Algorithm Based on Space Contraction

Wang Tao,LiQiqiang

Journal Article

The Real Time Optimization Research and Application for Transportation Scheduling System About MaterialQuarry of Cement With Genetic and Evolutionary Algorithm

Dai Jianyong,Yang Shijiao,Gu Desheng

Journal Article

A many-objective evolutionary algorithm based on decomposition with dynamic resource allocation for irregularoptimization

Ming-gang Dong, Bao Liu, Chao Jing,jingchao@glut.edu.cn

Journal Article

Evolutionary Immune Mechanism and Its Application on Temporal Sequential Pattern Mining

Yang Bingru,Qin Yiqing,Song Zefeng

Journal Article

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

Journal Article

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

Journal Article