Resource Type

Journal Article 90

Year

2023 4

2022 7

2021 6

2020 6

2019 7

2018 7

2017 6

2016 3

2015 3

2014 4

2013 3

2012 2

2010 2

2009 2

2008 3

2007 1

2006 4

2005 3

2004 2

2003 3

open ︾

Keywords

dynamic programming 3

Adaptive dynamic programming 2

CPLEX 2

Dynamic programming 2

Motion planning 2

Policy iteration 2

Programmability 2

Reinforcement learning 2

mixed-integer linear programming 2

mixed-integer programming 2

optimization 2

stochastic programming 2

1 D stress-waves 1

6G 1

-convexity 1

L&natur 1

Accelerator 1

Active gate drive 1

Air pollution 1

open ︾

Search scope:

排序： Display mode:

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 generating units at every hour interval with varying loads under different constraints and environments. Many algorithms have been invented in the past five decades for optimization of the UC problem, but still researchers are working in this field to find new hybrid algorithms to make the problem more realistic. The importance of UC is increasing with the constantly varying demands. Therefore, there is an urgent need in the power sector to keep track of the latest methodologies to further optimize the working criterions of the generating units. This paper focuses on providing a clear review of the latest techniques employed in optimizing UC problems for both stochastic and deterministic loads, which has been acquired from many peer reviewed published papers. It has been divided into many sections which include various constraints based on profit, security, emission and time. It emphasizes not only on deregulated and regulated environments but also on renewable energy and distributed generating systems. In terms of contributions, the detailed analysis of all the UC algorithms has been discussed for the benefit of new researchers interested in working in this field.

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

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

Smoothing ramp events in wind farm based on dynamic programming in energy internet

Jiang LI, Guodong LIU, Shuo ZHANG

Frontiers in Energy 2018, Volume 12, Issue 4,   Pages 550-559 doi: 10.1007/s11708-018-0593-8

Abstract: This paper proposes a dynamic programming method in smoothing ramp events.Then, the optimization problem in the energy internet is transformed into a multi-stage dynamic programmingproblem, and the dynamic programming method proposed is applied to solve the optimization problem.The results show that the dynamic programming method proposed is effective for smoothing wind power and

Keywords： energy internet     wind power     ramp events     dynamic programming    

HTML PDF Collect

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 area of evolutionaryThe researches on multi-objective evolutionary algorithms (MOEA) focus mainly on the Pareto-based comparisonmulti-objective optimization and decision-making techniques, analyzes both the Pareto-based and non-Pareto-based evolutionary

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

HTML PDF Collect

CNC programming system for complex components based on KBE within integrated environment of CAD/CAPP/

Shengwen ZHANG, Guicheng WANG, Liang ZHANG, Xifeng FANG

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 97-102 doi: 10.1007/s11465-009-0007-z

Abstract: intelligent manufacturing technology and overcome shortcomings of computerized numerical control(CNC) programmingThis paper constructs the architecture of CNC programming based on KBE within CAD/CAPP/CAM and exploresthe key technology of applying KBE to CNC programming — knowledge representation, knowledge acquisition, knowledge reasoning, and generalized knowledge base system of CNC programming.The prototype system of CNC programming for complex components based on KBE within CAD/CAPP/CAM has been

Keywords： NC programming     CAD/CAPP/CAM     KBE    

HTML PDF Collect

Technology and system of constraint programming for industry production scheduling

Yarong CHEN, Zailin GUAN, Yunfang PENG, Xinyu SHAO, Muhammad HASSEB

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 455-464 doi: 10.1007/s11465-010-0106-x

Abstract: The use of techniques and system of constraint programming enables the implementation of precise, flexibletechnology, such as modeling, search, constraint propagation, consistency, and optimization of constraint programming

Keywords： constraint programming     production scheduling     constraint propagation     search     consistency     optimization    

HTML PDF Collect

Two-stage stochastic programming with robust constraints for the logistics network post-disruption response

Frontiers of Engineering Management   Pages 67-81 doi: 10.1007/s42524-022-0240-2

Abstract: post-disruption response strategy optimization problem, this study proposes a novel two-stage stochastic programmingAn equivalent tractable mixed-integer linear programming reformulation is further derived by linearizing

Keywords： logistics network design     post-disruption response strategy     two-stage stochastic programming     conditional    

HTML PDF Collect

Cutting CO emissions through demand side regulation: Implications from multi-regional input–output linear programming

Frontiers of Engineering Management   Pages 452-461 doi: 10.1007/s42524-022-0209-1

Abstract: This study combines multi-regional input–output (MRIO) model with linear programming (LP) model to explore

Keywords： CO2 emissions     demand side regulation     multi-regional input–output model     linear programming    

HTML PDF Collect

The Forward Recurrent Method for Dynamic Programming

Zhang Zhao,Pei Yanling,Zhang Renbao

Strategic Study of CAE 2005, Volume 7, Issue 2,   Pages 62-65

Abstract:

Backward recurrent method is usually adopted in seeking optimal solution by dynamic programming.A forward recurrent method to find optimal solution by dynamic programming is presented on the basisThe fundamental equation of dynamic programming and Millton-Jacobi's equation are also derived.It's an exploratory study on optimal solution of dynamic programming.

Keywords： dynamic programming     multi-level decision     functional equation     optimal solution    

HTML PDF Collect

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    

HTML PDF Collect

Title Author Date Type Operation

A solution to the unit commitment problem—a review

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

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

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

Smoothing ramp events in wind farm based on dynamic programming in energy internet

Jiang LI, Guodong LIU, Shuo ZHANG

Journal Article

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

Xie Tao Chen Huowang

Journal Article

CNC programming system for complex components based on KBE within integrated environment of CAD/CAPP/

Shengwen ZHANG, Guicheng WANG, Liang ZHANG, Xifeng FANG

Journal Article

Technology and system of constraint programming for industry production scheduling

Yarong CHEN, Zailin GUAN, Yunfang PENG, Xinyu SHAO, Muhammad HASSEB

Journal Article

Two-stage stochastic programming with robust constraints for the logistics network post-disruption response

Journal Article

Cutting CO emissions through demand side regulation: Implications from multi-regional input–output linear programming

Journal Article

The Forward Recurrent Method for Dynamic Programming

Zhang Zhao,Pei Yanling,Zhang Renbao

Journal Article

Evolutionary Immune Mechanism and Its Application on Temporal Sequential Pattern Mining

Yang Bingru,Qin Yiqing,Song Zefeng

Journal Article