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Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and irregular steel frames

Mohammad Sadegh ES-HAGHI, Aydin SHISHEGARAN, Timon RABCZUK

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1110-1130 doi: 10.1007/s11709-020-0643-2

Abstract: We propose a new algorithm, named Asymmetric Genetic Algorithm (AGA), for solving optimization problems of steel frames. The AGA consists of a developed penalty function, which helps to find the best generation of the population. The objective function is to minimize the weight of the whole steel structure under the constraint of ultimate loads defined for structural steel buildings by the American Institute of Steel Construction (AISC). Design variables are the cross-sectional areas of elements (beams and columns) that are selected from the sets of side-flange shape steel sections provided by the AISC. The finite element method (FEM) is utilized for analyzing the behavior of steel frames. A 15-storey three-bay steel planar frame is optimized by AGA in this study, which was previously optimized by algorithms such as Particle Swarm Optimization (PSO), Particle Swarm Optimizer with Passive Congregation (PSOPC), Particle Swarm Ant Colony Optimization (HPSACO), Imperialist Competitive Algorithm (ICA), and Charged System Search (CSS). The results of AGA such as total weight of the structure and number of analyses are compared with the results of these algorithms. AGA performs better in comparison to these algorithms with respect to total weight and number of analyses. In addition, five numerical examples are optimized by AGA, Genetic Algorithm (GA), and optimization modules of SAP2000, and the results of them are compared. The results show that AGA can decrease the time of analyses, the number of analyses, and the total weight of the structure. AGA decreases the total weight of regular and irregular steel frame about 11.1% and 26.4% in comparing with the optimized results of SAP2000, respectively.

Keywords： optimization     steel frame     Asymmetric Genetic Algorithm     constraints of ultimate load     constraints of serviceabilitylimits     penalty function    

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Safety and serviceability assessment for high-rise tower crane to turbulent winds

Zhi SUN, Nin HOU, Haifan XIANG

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 1,   Pages 18-24 doi: 10.1007/s11709-009-0009-2

Abstract: This paper proposes a general scheme for safety and serviceability assessment of high-rise tower cranein-use tower crane under the design wind speed and the maximum operational wind speed for safety and serviceability

Keywords： tower crane     buffeting response     wind velocity     modeling    

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Pushing Mathematical Limits, a Neural Network Learns Fluid Flow

Dana Mackenzie

Engineering 2021, Volume 7, Issue 5,   Pages 550-551 doi: 10.1016/j.eng.2021.03.009

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Analysis of inventory level under procurement constraints in supply chain

CHANG Guangshu

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 3,   Pages 361-363 doi: 10.1007/s11465-007-0063-1

Abstract: Then, the change of the inventory level with and without the procurement constraints is analyzed, and

Keywords： supply     efficient reduction     system     expectation     procurement    

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models to explore the solution space of large nonlinear systems underlying flowsheet simulations with constraints

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 183-197 doi: 10.1007/s11705-021-2073-7

Abstract: Additional constraints from technical, economic, environmental, and safety considerations may furtherA priori, the design variable domains for which a simulation converges and fulfills the imposed constraintsHowever, that approach only considers the exploration of the convergent domain and ignores additional constraintsIn this paper, we present an improvement which particularly takes the fulfillment of constraints into

Keywords： machine learning     flowsheet simulations     constraints     exploration    

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Resilience strategies for sustainable supply chains under budget constraints in the post COVID-19 era

Frontiers of Engineering Management   Pages 143-157 doi: 10.1007/s42524-022-0236-y

Abstract: Therefore, the design of resilience solutions needs to fully consider the constraints of budgetary costsMost of the existing related literature only discusses optimal resilience solutions under certain cost constraintssatisfaction as indicators, to determine the changing laws of optimal resilience strategies when cost constraints

Keywords： sustainable supply chain     customer requirement     resilience efficiency     customer satisfaction     budget constraint    

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emission reduction targets with minimum abatement costs: An enterprise-level allocation method with constraints

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 2, doi: 10.1007/s11783-021-1459-6

Abstract:

• Quantification of efficiency and fairness of abatement allocation are optimized.

Keywords： Pollutant emission reduction allocation     Emission reduction measures     Total abatement cost     Economic efficiency     Abatement space    

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Operation and control of flow manufacturing based on constraints management for high-mix/low-volume production

GUAN Zailin, PENG Yunfang, MA Li, ZHANG Chaoyong, LI Peigen

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4,   Pages 454-461 doi: 10.1007/s11465-008-0083-5

Abstract: The application of different theories of constraints/drum-buffer-rope (TOC/DBR) control policies depends

Keywords： appropriate     management technology     scheduling     technology     different    

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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: problem, this study proposes a novel two-stage stochastic programming model with robust delivery time constraintsthe conditional value at risk (CVaR) criterion is utilized to reduce the operational risk, and robust constraintsfurther derived by linearizing the CVaR objective function and dualizing the infinite number of robust constraints

Keywords： logistics network design     post-disruption response strategy     two-stage stochastic programming     conditional value at risk     robust constraint    

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Trajectory optimization with constraints for alpine skiers based on multi-phase nonlinear optimal control

Cong-ying Cai, Xiao-lan Yao,yaoxiaolan@bit.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 10,   Pages 1413-1534 doi: 10.1631/FITEE.1900586

Abstract: carried out by the MATLAB optimization toolbox, the is obtained under several equality and inequality constraints
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Multimodal processes optimization subject to fuzzy operation time constraints: declarative modeling approach

Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 4,   Pages 338-347 doi: 10.1631/FITEE.1500359

Abstract: treated in terms of optimization of the AGVs fleet scheduling problem subject to fuzzy operation time constraints

Keywords： Automated guided vehicles (AGVs)     Scheduling     Multimodal process     Fuzzy constraints     Optimization    

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Hierarchical modeling of stochastic manufacturing and service systems

Zhe George ZHANG, Xiaoling YIN

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 295-303 doi: 10.15302/J-FEM-2017047

Abstract: This paper presents a review of methodologies for analyzing stochastic manufacturing and service systems. On the basis of the scale and level of details of operations, we can study stochastic systems using micro-, meso-, and macro-scopic models. Such a classification unifies stochastic modeling theory. For each model type, we highlight the advantages and disadvantages and the applicable situations. Micro-scopic models are based on quasi-birth-and-death process because of the phase-type distributed service times and/or Markov arrival processes. Such models are appropriate for modeling the detailed operations of a manufacturing system with relatively small number of servers (production facilities). By contrast, meso-scopic and macro-scopic models are based on the functional central limit theorem (FCLT) and functional strong law of large numbers (FSLLN), respectively, under heavy-traffic regimes. These high-level models are appropriate for modeling large-scale service systems with many servers, such as call centers or large service networks. This review will help practitioners select the appropriate level of modeling to enhance their understanding of the dynamic behavior of manufacturing or service systems. Enhanced understanding will ensure that optimal policies can be designed to improve system performance. Researchers in operation analytics and optimization of manufacturing and logistics also benefit from such a review.

Keywords： stochastic modeling     QBD process     PH distribution     heavy traffic limits     diffusion process    

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Core designing of a new type of TVS-2M FAs: neutronics and thermal-hydraulics design basis limits

Saeed GHAEMI, Farshad FAGHIHI

Frontiers in Energy 2021, Volume 15, Issue 1,   Pages 256-278 doi: 10.1007/s11708-018-0583-x

Abstract: One of the most important aims of this study is to improve the core of the current VVER reactors to achieve more burn-up (or more cycle length) and more intrinsic safety. It is an independent study on the Russian new proposed FAs, called TVS-2M, which would be applied for the future advanced VVERs. Some important aspects of neutronics as well as thermal hydraulics investigations (and analysis) of the new type of Fas are conducted, and results are compared with the standards PWR CDBL. The TVS-2M FA contains gadolinium-oxide which is mixed with UO (for different Gd densities and U-235 enrichments which are given herein), but the core does not contain BARs. The new type TVS-2M Fas are modeled by the SARCS software package to find the PMAXS format for three states of CZP and HZP as well as HFP, and then the whole core is simulated by the PARCS code to investigate transient conditions. In addition, the WIMS-D5 code is suggested for steady core modeling including TVS-2M FAs and/or TVS FAs. Many neutronics aspects such as the first cycle length (first cycle burn up in terms of MW d/kgU), the critical concentration of boric acid at the BOC as well as the cycle length, the axial, and radial power peaking factors, differential and integral worthy of the most reactive CPS-CRs, reactivity coefficients of the fuel, moderator, boric acid, and the under-moderation estimation of the core are conducted and benchmarked with the PWR CDBL. Specifically, the burn-up calculations indicate that the 45.6 d increase of the first cycle length (which corresponds to 1.18 MW d/kgU increase of burn-up) is the best improving aim of the new FA type called TVS-2M. Moreover, thermal-hydraulics core design criteria such as MDNBR (based on W3 correlation) and the maximum of fuel and clad temperatures (radially and axially), are investigated, and discussed based on the CDBL.

Keywords： TVS-2M FAs     core design basis limits     VVER-1000     analysis     mixture of uranium-gadolinium oxides fuels     thermal-hydraulics    

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Spatiotemporal distance embedded hybrid ant colony algorithm for a kind of vehicle routing problem with constraints Research Article

Zhenhui FENG, Renbin XIAO,feng_zh@hust.edu.cn,rbxiao@hust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 7,   Pages 1062-1079 doi: 10.1631/FITEE.2200585

Abstract: It is a typical extended vehicle routing problem (VRP) with both time and space constraints.

Keywords： Vehicle routing problem with constraints (VRPC)     Spatiotemporal distance function     Labor division strategy    

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Long-term simulation of growth stage-based irrigation scheduling in maize under various water constraints

Quanxiao FANG, Liwang MA, Lajpat Rai AHUJA, Thomas James TROUT, Robert Wayne MALONE, Huihui ZHANG, Dongwei GUI, Qiang YU

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 2,   Pages 172-184 doi: 10.15302/J-FASE-2017139

Abstract: subject to seasonal water availabilities (300, 400, 500 mm, and no water limit), with and without monthly limits

Keywords： RZWQM     ET-based irrigation schedule     maize     water constrains    

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Title Author Date Type Operation

Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and irregular steel frames

Mohammad Sadegh ES-HAGHI, Aydin SHISHEGARAN, Timon RABCZUK

Journal Article

Safety and serviceability assessment for high-rise tower crane to turbulent winds

Zhi SUN, Nin HOU, Haifan XIANG

Journal Article

Pushing Mathematical Limits, a Neural Network Learns Fluid Flow

Dana Mackenzie

Journal Article

Analysis of inventory level under procurement constraints in supply chain

CHANG Guangshu

Journal Article

models to explore the solution space of large nonlinear systems underlying flowsheet simulations with constraints

Journal Article

Resilience strategies for sustainable supply chains under budget constraints in the post COVID-19 era

Journal Article

emission reduction targets with minimum abatement costs: An enterprise-level allocation method with constraints

Journal Article

Operation and control of flow manufacturing based on constraints management for high-mix/low-volume production

GUAN Zailin, PENG Yunfang, MA Li, ZHANG Chaoyong, LI Peigen

Journal Article

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

Journal Article

Trajectory optimization with constraints for alpine skiers based on multi-phase nonlinear optimal control

Cong-ying Cai, Xiao-lan Yao,yaoxiaolan@bit.edu.cn

Journal Article

Multimodal processes optimization subject to fuzzy operation time constraints: declarative modeling approach

Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK

Journal Article

Hierarchical modeling of stochastic manufacturing and service systems

Zhe George ZHANG, Xiaoling YIN

Journal Article

Core designing of a new type of TVS-2M FAs: neutronics and thermal-hydraulics design basis limits

Saeed GHAEMI, Farshad FAGHIHI

Journal Article

Spatiotemporal distance embedded hybrid ant colony algorithm for a kind of vehicle routing problem with constraints

Zhenhui FENG, Renbin XIAO,feng_zh@hust.edu.cn,rbxiao@hust.edu.cn

Journal Article

Long-term simulation of growth stage-based irrigation scheduling in maize under various water constraints

Quanxiao FANG, Liwang MA, Lajpat Rai AHUJA, Thomas James TROUT, Robert Wayne MALONE, Huihui ZHANG, Dongwei GUI, Qiang YU

Journal Article