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Application of Genetic Algorithm in the Optimization of Parameters in Engineering Blasting

Xu Hongtao,Lu Wenbo

Strategic Study of CAE 2005, Volume 7, Issue 1,   Pages 76-80

Abstract:

The optimization of blasting parameters in engineering blasting is a complicated nonlinear programmingmathematical model of blasting optimization in open pit mine, the optimization problem is solved with geneticalgorithm in this paper, and the feasibility and high effectiveness of optimizing blasting parameters with genetic

Keywords： engineering blasting     mining     optimization     mathematical model     nonlinear programming     genetic algorithm    

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Prediction of cost and emission from Indian coal-fired power plants with CO

Naushita SHARMA, Udayan SINGH, Siba Sankar MAHAPATRA

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 149-162 doi: 10.1007/s11708-017-0482-6

Abstract: artificial intelligence (AI) techniques—adaptive network based fuzzy inference system (ANFIS) and multi gene geneticprogramming (MGGP) are used to model Indian coal-fired power plants with CO capture.

Keywords： carbon capture and storage     power plants     artificial intelligence     genetic programming     neuro fuzzy    

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Characterization of the tensile properties of friction stir welded aluminum alloy joints based on axial force, traverse speed, and rotational speed

Biranchi PANDA,A. GARG,Zhang JIAN,Akbar HEIDARZADEH,Liang GAO

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 289-298 doi: 10.1007/s11465-016-0393-y

Abstract: A numerical approach based on genetic programming is employed to produce the functional relationships

Keywords： properties     ultimate tensile strength     tensile elongation     friction stir welding     tool rotational speed     geneticprogramming     welding speed    

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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    

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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    

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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    

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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    

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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    

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Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature

Frontiers of Medicine 2023, Volume 17, Issue 4,   Pages 768-780 doi: 10.1007/s11684-023-0982-1

Abstract: By employing echocardiography and genetic screening for the 46 genes, HCM can be classified into two

Keywords： machine learning methods     hypertrophic cardiomyopathy     genetic risk    

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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    

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Interplay between diet and genetic susceptibility in obesity and related traits

Tiange Wang, Min Xu, Yufang Bi, Guang Ning

Frontiers of Medicine 2018, Volume 12, Issue 6,   Pages 601-607 doi: 10.1007/s11684-018-0648-6

Abstract: Longitudinal studies and randomized intervention trials have shown that genetic susceptibility to obesity

Keywords： diet     genetic susceptibility     obesity     interaction    

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Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 863-889 doi: 10.1007/s11709-019-0523-9

Abstract: For this purpose, the enhanced genetic algorithm methodology named EGAwMP is utilized as an optimizationThe evolutionary search mechanism of EGAwMP is constituted on the basis of generational genetic algorithminto sub-populations and using of a radial basis neural network for dynamically adjustment of EGAwMP’s genetic

Keywords： design optimization     genetic algorithm     multiple populations     neural network    

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Research progress on genetic improvement of

Chuanping YANG

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4,   Pages 391-401 doi: 10.15302/J-FASE-2017183

Abstract: Over the past 30 years, effective progress has been made in genetic improvement and molecular breedingmolecular markers were developed and the high density genetic map constructed.All this research has provided a model and data for the foundation of forest genetic improvement and

Keywords： Betula platyphylla     genetic improvement     molecular breeding     seed orchard    

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Unit commitment using dynamic programming–an exhaustive working of both classical and stochastic approach

Balasubramaniyan SARAVANAN, Surbhi SIKRI, K. S. SWARUP, D. P. KOTHARI

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 333-341 doi: 10.1007/s11708-013-0259-5

Abstract: There are many conventional and evolutionary programming techniques used for solving the unit commitmentDynamic programming (DP) is a conventional algorithm used to solve the deterministic problem.

Keywords： unit commitment (UC)     deterministic     stochastic     dynamic programming (DP)     optimization     state diagram    

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Uncertain and multi-objective programming models for crop planting structure optimization

Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 1,   Pages 34-45 doi: 10.15302/J-FASE-2016084

Abstract: In this study, three single-objective programming models under uncertainty for crop planting structureoptimization were developed, including an interval linear programming model, an inexact fuzzy chance-constrainedprogramming (IFCCP) model and an inexact fuzzy linear programming (IFLP) model.of crop planting structure planning, a fuzzy-optimization-theory-based fuzzy linear multi-objective programmingIn addition, a multi-objective fractional programming model for crop structure optimization was also

Keywords： crop planting structure     optimization model     uncertainty     multi-objective    

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Title Author Date Type Operation

Application of Genetic Algorithm in the Optimization of Parameters in Engineering Blasting

Xu Hongtao,Lu Wenbo

Journal Article

Prediction of cost and emission from Indian coal-fired power plants with CO

Naushita SHARMA, Udayan SINGH, Siba Sankar MAHAPATRA

Journal Article

Characterization of the tensile properties of friction stir welded aluminum alloy joints based on axial force, traverse speed, and rotational speed

Biranchi PANDA,A. GARG,Zhang JIAN,Akbar HEIDARZADEH,Liang GAO

Journal Article

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

Jiang LI, Guodong LIU, Shuo ZHANG

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

Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature

Journal Article

The Forward Recurrent Method for Dynamic Programming

Zhang Zhao,Pei Yanling,Zhang Renbao

Journal Article

Interplay between diet and genetic susceptibility in obesity and related traits

Tiange Wang, Min Xu, Yufang Bi, Guang Ning

Journal Article

Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Journal Article

Research progress on genetic improvement of

Chuanping YANG

Journal Article

Unit commitment using dynamic programming–an exhaustive working of both classical and stochastic approach

Balasubramaniyan SARAVANAN, Surbhi SIKRI, K. S. SWARUP, D. P. KOTHARI

Journal Article

Uncertain and multi-objective programming models for crop planting structure optimization

Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

Journal Article