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Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 57-74 doi: 10.1007/s11709-021-0784-y

Abstract: In this paper, the seismic design optimization of spatial steel dome structures is achieved through threerecent metaheuristic algorithms that are water strider (WS), grey wolf (GW), and brain storm optimizationdesign results obtained by classical metaheuristic algorithms and a gradient descent-based hyperband optimization(HBO) algorithm.

Keywords： steel dome optimization     water strider algorithm     grey wolf algorithm     brain storm optimization algorithm     hyperband optimization algorithm    

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Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 429-442 doi: 10.1007/s11465-013-0277-3

Abstract: Finally, the cuckoo optimization algorithm (COA) was used for selection solutions in which the process

Keywords： electrochemical machining process (ECM)     modeling     adaptive neuro-fuzzy inference system (ANFIS)     optimization     cuckoo optimization algorithm (COA)    

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Multi-population particle swarm optimization algorithm for automatic design of steel frames

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 1,   Pages 89-103 doi: 10.1007/s11709-024-1037-7

Abstract: Therefore, a multi-population particle swarm optimization (MPPSO) algorithm is developed to optimizeModifications are made to improve the algorithm performances including the constraint-based strategy,The related parameter influences on optimization results are discussed.It aims to provide a reference for automatic structural optimization design problems even with dimensionalThe proposed method can be easily generalized to the optimization problem of other structural systems

Keywords： steel frame     multi-population particle swarm optimization     automatic structural optimization design    

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The Dust Storm Phenomena in Ningxia and the Countermeasures

Gao Qingxia,Ren Zhenhai

Strategic Study of CAE 2002, Volume 4, Issue 2,   Pages 16-21

Abstract: observation data from meteorological stations of Ningxia region, the spatial distribution and trend of dust stormphenomena (include dust storm, blowing sand and floating sand) are analyzed.

Keywords： dust storm     preventing and controlling dust storm and desertification     countermeasures and suggestion     blowing    

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Estimation of distribution algorithm enhanced particle swarm optimization for water distribution networkoptimization

Xuewei QI,Ke LI,Walter D. POTTER

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 341-351 doi: 10.1007/s11783-015-0776-z

Abstract: The optimization of a water distribution network (WDN) is a highly nonlinear, multi-modal, and constrainedParticle swarm optimization (PSO) has been shown to be a fast converging algorithm for WDN optimizationAn improved estimation of distribution algorithm (EDA) using historic best positions to construct a sample

Keywords： particle swarm optimization (PSO)     diversity control     estimation of distribution algorithm (EDA)     water    

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Design and optimization of reactive distillation: a review

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 799-818 doi: 10.1007/s11705-021-2128-9

Abstract: To overcome this problem, the design and optimization of reactive distillation have been widely studiedThese design and optimization methods of the reactive distillation process are classified into threecategories: graphical, optimization-based, and evolutionary/heuristic methods.The primary objective of this article is to provide an up-to-date review of the existing design and optimizationPerspectives on future research on the design and optimization of reactive distillation method are proposed

Keywords： reactive distillation     process intensification     design method     reactive phase diagram     optimization algorithm    

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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 lifeThe 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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Compressive strength prediction and optimization design of sustainable concrete based on squirrel searchalgorithm-extreme gradient boosting technique

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 9,   Pages 1310-1325 doi: 10.1007/s11709-023-0997-3

Abstract: The results indicated that the squirrel search algorithm-extreme gradient boosting (SSA-XGB) yielded

Keywords： sustainable concrete     fly ash     slay     extreme gradient boosting technique     squirrel search algorithm    

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Integrating storm surge modeling with traffic data analysis to evaluate the effectiveness of hurricane

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1301-1316 doi: 10.1007/s11709-021-0765-1

Abstract: An integrated storm surge modeling and traffic analysis were conducted in this study to assess the effectivenessThe Advanced Circulation (ADCIRC) model was applied to simulate storm tides during the hurricane eventModel simulated storm tides and winds were used to estimate the area affected by Hurricane Irma.Only moderate storm tides (maximum about 2.5 m) and maximum wind speed about 115 mph were shown in bothStorm surges did not rise to the 100-year flood elevation level.

Keywords： storm surge modeling     traffic     evacuation     Hurricane Irma    

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Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complexwith heuristic algorithm

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 10,   Pages 1516-1532 doi: 10.1007/s11705-022-2283-7

Abstract: To solve the problem efficiently, a heuristic algorithm combined with a convolutional neural networkvariables are used as the CNN input, leading to the integration of a data-driven approach and classical optimizationby which a heuristic algorithm is established.petrochemical complex under planning and scheduling, but also confirm the high efficiency of the proposed algorithm

Keywords： planning     scheduling     refinery-petrochemical     convolutional neural network     heuristic algorithm    

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Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Frontiers of Engineering Management 2023, Volume 10, Issue 3,   Pages 499-516 doi: 10.1007/s42524-022-0221-5

Abstract: Then, a time–space network optimization model is built, and its corresponding solution algorithm is presentedthe computation results of the numerical experiments are provided to verify the effectiveness of the algorithm

Keywords： online supermarkets     split-order consolidation     time–space network     genetic algorithm    

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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: This study concerns with the design optimization of steel skeletal structures thereby utilizing bothFor 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 algorithmConsequently, EGAwMP is suggested as a design optimization tool for the real-life steel skeletal structures

Keywords： design optimization     genetic algorithm     multiple populations     neural network    

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Optimization of aero-engine pipeline for avoiding vibration based on length adjustment of straight-line

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 11-11 doi: 10.1007/s11465-021-0667-x

Abstract: process constraints and vibration avoidance constraints, the optimization model of the pipeline systemThe genetic algorithm and the golden section algorithm are selected to solve the optimization model,Results show that the developed optimization method can obtain the optimal single value or interval ofIn addition, the optimization efficiency of the golden section algorithm is remarkably higher than thatof the genetic algorithm for length optimization of a single straight-line segment.

Keywords： length adjustment     spatial pipeline     aero-engine     vibration avoidance optimization     genetic algorithm     golden section algorithm    

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Application of the invasive weed optimization algorithm to economic dispatch problems

T. JAYABARATHI, Afshin YAZDANI, V. RAMESH

Frontiers in Energy 2012, Volume 6, Issue 3,   Pages 255-259 doi: 10.1007/s11708-012-0202-1

Abstract: In this paper the invasive weed optimization algorithm has been applied to a variety of economic dispatchIn general, they are non-linear non-convex optimization problems which cannot be directly solved by conventionalIn this work the invasive weed algorithm, a meta-heuristic method inspired by the proliferation of weeds

Keywords： economic dispatch (ED)     invasive weed optimization     non-convexity     prohibited operating zones (POZ)     valve    

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Multi-objective optimization of combustion, performance and emission parameters in a jatropha biodieselengine using Non-dominated sorting genetic algorithm-II

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 1,   Pages 81-94 doi: 10.1007/s11465-014-0287-9

Abstract: These regression equations are further utilized for simultaneous optimization of combustion (BSFC, Pmax, CO, NOx, HC, smoke, a multi-objective optimizationNon-dominated sorting genetic algorithm-II is used in predicting the Pareto optimal sets of solution.

Keywords： jatropha biodiesel     fuel properties     response surface methodology     multi-objective optimization     non-dominatedsorting genetic algorithm-II    

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Title Author Date Type Operation

Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic

Journal Article

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

Multi-population particle swarm optimization algorithm for automatic design of steel frames

Journal Article

The Dust Storm Phenomena in Ningxia and the Countermeasures

Gao Qingxia,Ren Zhenhai

Journal Article

Estimation of distribution algorithm enhanced particle swarm optimization for water distribution networkoptimization

Xuewei QI,Ke LI,Walter D. POTTER

Journal Article

Design and optimization of reactive distillation: a review

Journal Article

Survey on Particle Swarm Optimization Algorithm

Yang Wei,Li Chiqiang

Journal Article

Compressive strength prediction and optimization design of sustainable concrete based on squirrel searchalgorithm-extreme gradient boosting technique

Journal Article

Integrating storm surge modeling with traffic data analysis to evaluate the effectiveness of hurricane

Journal Article

Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complexwith heuristic algorithm

Journal Article

Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Journal Article

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

Tugrul TALASLIOGLU

Journal Article

Optimization of aero-engine pipeline for avoiding vibration based on length adjustment of straight-line

Journal Article

Application of the invasive weed optimization algorithm to economic dispatch problems

T. JAYABARATHI, Afshin YAZDANI, V. RAMESH

Journal Article

Multi-objective optimization of combustion, performance and emission parameters in a jatropha biodieselengine using Non-dominated sorting genetic algorithm-II

Sunil Dhingra,Gian Bhushan,Kashyap Kumar Dubey

Journal Article