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Model of Fuzzy Geometric Programming in Economical Power Supply Radius and Optimum Seeking Method

Cao Bingyuan

Strategic Study of CAE 2001, Volume 3, Issue 3, Pages 52-55

Abstract: A fuzzy geometric programming model of power supply radius under the fuzzy environment, including problemsof soft constraints and fuzzy functions with fuzzy coefficients, is built in order to determine thewith other static and dynamic optimum mathematical models such as controlling models and classical geometricprogramming ones.

Keywords： fuzzy geometric programming economic power supply radius optimum seeking transformer substations capacity

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Fuzzy Programming Based Modeling of Production Scheduling of Batch Processes

Zhang Hong,Li Chiqiang

Strategic Study of CAE 2004, Volume 6, Issue 10, Pages 65-70

Abstract:

By analyzing certain fuzzy models for production scheduling, the author proposes a general novel fuzzificationmethod based on fuzzy programming for batching production processes and offers a modeling method withfuzzy coefficients.Two fuzzy algorithms based on genetic algorithm, i. e. , fuzzy simulation and SFA algorithm, are adoptedto solve the fuzzy model.

Keywords： production scheduling fuzzy programming batching production processes membership function

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Linear programming method with LR type fuzzy numbersfor network scheduling

Gao Peng,Feng Junwen

Strategic Study of CAE 2009, Volume 11, Issue 2, Pages 70-74

Abstract: This paper develops a linear programming method with LR type fuzzy numbers, which aims to estimate activity

Keywords： network scheduling fuzzy linear programming activity

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Fuzzy Optimum Selection Dynamic Programming Methodology for Multi-objective Optimization of Multi-stage

Xiong Deqi,Yin Peihai

Strategic Study of CAE 2000, Volume 2, Issue 9, Pages 65-69

Abstract:

Based on the concepts of the fuzzy weighted distance and membership degree, the fuzzy optimum selectiondynamic programming technique that can be used for the optimization of multi-objective and multi-stagesystems are developed by means of the combination of fuzzy optimum selection theory with dynamic programming

Keywords： multi-stage multi-objective optimization fuzzy optimum selection dynamic programming membership degree

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Deformable image registration with geometric changes

Yu LIU,Bo ZHU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10, Pages 829-837 doi: 10.1631/FITEE.1500045

Abstract: Geometric changes present a number of difficulties in deformable image registration.In this paper, we propose aglobal deformation framework to model geometric changes whilst promoting aachieve this, we have developed an innovative model which significantly reduces the side effects of geometricintroduction of a sparsity-inducing norm, which is typically L1 norm regularization targeting regions where geometric

Keywords： Geometric changes Image registration Sparsity Traumatic brain injury (TBI)

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An integrated optimization and simulation approach for air pollution control under uncertainty in open-pit metal mine

Zunaira Asif, Zhi Chen

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 5, doi: 10.1007/s11783-019-1156-x

Abstract: The model is formulated for decision makers to select the least costly treatment method using linear programmingFurthermore, an integrated fuzzy based risk assessment approach is applied to examine uncertainties andThe risk level is divided into three types (loose, medium and strict) using a triangular fuzzy membershipFuzzy logic is then used to identify environmental risk through stochastic simulated cumulative distribution

Keywords： Air pollution Decision analysis Linear programming Mining Optimization Fuzzy Monte Carlo

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Fuzzy stochastic long-term model with consideration of uncertainties for deployment of distributed energy

Iraj AHMADIAN,Oveis ABEDINIA,Noradin GHADIMI

Frontiers in Energy 2014, Volume 8, Issue 4, Pages 412-425 doi: 10.1007/s11708-014-0315-9

Abstract: This paper presents a novel modified interactive honey bee mating optimization (IHBMO) base fuzzy stochastic

Keywords： component distributed energy resources fuzzy optimization loss reduction interactive honey bee matingoptimization (IHBMO) voltage deviation reduction stochastic programming

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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: In this paper, two artificial intelligence (AI) techniques—adaptive network based fuzzy inference system(ANFIS) and multi gene genetic programming (MGGP) are used to model Indian coal-fired power plants with

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

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Probabilistic analysis of secant piles with random geometric imperfections

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3, Pages 682-695 doi: 10.1007/s11709-021-0703-2

Abstract: safe and cost-effective secant-pile wall, a three-dimensional model of a secant pile, considering the geometricThe integrity of the secant-pile wall can be overestimated without considering the uncertainty of geometric

Keywords： secant piles ultrasonic cross-hole testing probabilistic analysis reliability-based design random imperfections

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Zinc modification of Ni-Ti as efficient NiZnTi catalysts with both geometric and electronic improvements

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 4, Pages 461-474 doi: 10.1007/s11705-021-2072-8

Abstract: The catalytic hydrogenation of nitroaromatics is an environmentally friendly technology for aniline production, and it is crucial to develop noble-metal-free catalysts that can achieve chemoselective hydrogenation of nitroaromatics under mild reaction conditions. In this work, zinc-modified Ni-Ti catalysts (Ni_xZn_yTi₁) were fabricated and applied for the hydrogenation of nitroaromatics hydrogenation. It was found that the introduction of zinc effectively increases the surface Ni density, enhances the electronic effect, and improves the interaction between Ni and TiO₂, resulting in smaller Ni particle size, more oxygen vacancies, higher dispersion and greater concentration of Ni on the catalyst surface. Furthermore, the electron-rich Ni^δ^– obtained by electron transfer from Zn and Ti to Ni effectively adsorbs and dissociates hydrogen. The results reveal that Ni_xZn_yTi₁ (Ni_0.5Zn_0.5Ti₁) shows excellent catalytic performance under mild conditions (70 °C and 6 bar). These findings provide a rational strategy for the development of highly active non-noble-metal hydrogenation catalysts.

Keywords： bimetal strategy oxygen vacancy non-noble metal catalyst hydrogenation aromatic nitro compounds

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Research on HJ-1A/B satellites data automatic geometric precision correction design

Xiong Wencheng,Shen Wenming,Wang Qiao,Shi Yuanli,Xiao Rulin and Fu Zhuo

Strategic Study of CAE 2014, Volume 16, Issue 3, Pages 37-42

Abstract: The realization of the observation data geometric precision correction is of great significance for macroThe paper analyzed the parameter characteristics of HJ-1satellite and geometric features of HJ-1satellitegeometric precision correction method were designed.Actual operating data showed that the method couldachieve good result for automatic geometric precision correction of HJ-1satellite data，automatic HJ-1CCD image geometric precision correction accuracy could be achieved within two pixels and automatic

Keywords： HJ-1satellite automatic geometric precision correction CCD

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Isogeometric analysis based on geometric reconstruction models

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4, Pages 782-797 doi: 10.1007/s11465-021-0648-0

Abstract: In isogeometric analysis (IGA), the boundary representation of computer-aided design (CAD) and the tensor-product non-uniform rational B-spline structure make the analysis of three-dimensional (3D) problems with irregular geometries difficult. In this paper, an IGA method for complex models is presented by reconstructing analysis-suitable models. The CAD model is represented by boundary polygons or point cloud and is embedded into a regular background grid, and a model reconstruction method is proposed to obtain the level set function of the approximate model, which can be directly used in IGA. Three 3D examples are used to test the proposed method, and the results demonstrate that the proposed method can deal with complex engineering parts reconstructed by boundary polygons or point clouds.

Keywords： isogeometric analysis reconstruction model level set function trimmed element point cloud

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Effects of critical geometric parameters on the optical performance of a conical cavity receiver

Hu XIAO, Yanping ZHANG, Cong YOU, Chongzhe ZOU, Quentin FALCOZ

Frontiers in Energy 2019, Volume 13, Issue 4, Pages 673-683 doi: 10.1007/s11708-019-0630-2

Abstract: Most of the literature focuses on the optical performance of receivers with different geometric shapes, but less research is conducted on the effects of critical geometric parameters.

Keywords： parabolic collector conical cavity receiver critical geometric parameters optical performance

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Mechanical and geometric advantages in compliant mechanism optimization

Michael Yu WANG

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 3, Pages 229-241 doi: 10.1007/s11465-009-0066-1

Abstract: This paper presents a focused examination of the mechanical and geometric advantages in compliant mechanismsWith a linear elastic structural analysis, we quantify mechanical (and geometric) advantage in termsIt is shown that the common formulations using mechanical (or geometric) advantage would directly emulate

Keywords： compliant mechanisms topology optimization mechanical advantage pseudo rigid-body mechanisms

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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