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A review of the multiobjective tradeoff research of construction projects based on intelligent optimizationalgorithm

Zhang Lianying,Xu Chang,Wu Qiong

Strategic Study of CAE 2012, Volume 14, Issue 11,   Pages 107-112

Abstract:

The optimal equilibrium between the multiple objectives of construction projects is a significant aspect of project management research, which has seen rapid development in recent years, gaining a bunch of fruitful achievements. In this paper, a review is provided for the multiobjective tradeoff research of construction projects based on literature review. Models under deterministic conditions and nondeterministic conditions are investigated and summarized. Some suggestions on the possible direction for future research are included considering the algorithms adopted in the problem solution. This paper aims at providing a review of the achievements in this area so far and keeping track of the ongoing research topics so as to give certain indications for research that follows.

Keywords： construction project     project management     multi-objective optimization     intelligent optimization algorithm    

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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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Multiobjective trajectory optimization of intelligent electro-hydraulic shovel

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0706-2

Abstract: In this paper, a multiobjective trajectory optimization approach that sets energy consumption, executionThen, a novel hybrid constrained multiobjective evolutionary algorithm based on decomposition is proposedto deal with this constrained multiobjective optimization problem.proposed approach can provide the high-quality Pareto optimal solutions and outperforms other trajectory optimization

Keywords： trajectory planning     electro-hydraulic shovel     cubic polynomial S-curve     multiobjective optimization    

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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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Intelligent Layout Optimization Systems of Truss Structure

Li Hao,Hu Yunchang,Cao Hongfeng

Strategic Study of CAE 2003, Volume 5, Issue 2,   Pages 75-79

Abstract:

Intelligent layout optimization system of truss structures, based on fuzzy, neural network, and chaosA new layout optimization model is formed. This system takes on intelligent and adaptive.It can complete the whole optimization programming including automatically creating of ground structureof trusses and layout optimization.It is showed by an example that this system is stable and the final layout optimization result is reliable

Keywords： layout optimization     intelligent     optimization systems     adaptive    

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A review of intelligent optimization for group scheduling problems in cellular manufacturing

Frontiers of Engineering Management   Pages 406-426 doi: 10.1007/s42524-022-0242-0

Abstract: integrated reviews have been conducted so far on considered problems with different constraints and their optimizationAll literature is classified according to the number of objective functions, number of machines, and optimization

Keywords： cellular manufacturing     group scheduling     flowshop     literature review    

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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   Pages 1310-1325 doi: 10.1007/s11709-023-0997-3

Abstract: The intelligent prediction models were assessed using the root mean square error (RMSE), coefficientThe 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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Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 118-124 doi: 10.1007/s11465-009-0084-z

Abstract: This paper reports several intelligent diagnostic approaches based on artificial neural network and fuzzyalgorithm for plant machinery, such as the diagnosis method using the wavelet transform, rough sets,These intelligent diagnostic methods have been successfully applied to condition diagnosis in different

Keywords： intelligent diagnosis     neural network     fuzzy algorithm     adaptive filtering     plant machinery    

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

Frontiers of Engineering Management   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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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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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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Tool path strategy and cutting process monitoring in intelligent machining

Ming CHEN, Chengdong WANG, Qinglong AN, Weiwei MING

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 232-242 doi: 10.1007/s11465-018-0469-y

Abstract:

Intelligent machining is a current focus in advanced manufacturing technology, and is characterizedA central technology of intelligent machining—the cutting process online monitoring and optimizationIn this research, the cutting process online monitoring and optimization in jet engine impeller machining, cranio-maxillofacial surgery, and hydraulic servo valve deburring are introduced as examples of intelligentResults show that intelligent tool path optimization and cutting process online monitoring are efficient

Keywords： intelligent machining     tool path strategy     process optimization     online monitoring    

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Title Author Date Type Operation

A review of the multiobjective tradeoff research of construction projects based on intelligent optimizationalgorithm

Zhang Lianying,Xu Chang,Wu Qiong

Journal Article

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

Journal Article

Multiobjective trajectory optimization of intelligent electro-hydraulic shovel

Journal Article

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

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

Intelligent Layout Optimization Systems of Truss Structure

Li Hao,Hu Yunchang,Cao Hongfeng

Journal Article

A review of intelligent optimization for group scheduling problems in cellular manufacturing

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

Intelligent diagnosis methods for plant machinery

Huaqing WANG, Peng CHEN, Shuming WANG,

Journal Article

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

Journal Article

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

Journal Article

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

Journal Article

Tool path strategy and cutting process monitoring in intelligent machining

Ming CHEN, Chengdong WANG, Qinglong AN, Weiwei MING

Journal Article