Zoning‐Based Vertical Transportation Optimization for Workers at Peak Time in a Skyscraper Construction

Koo, Choongwan; Hong, Taehoon; Yoon, Jaeseong; Jeong, Kwangbok

doi:10.1111/mice.12220

Cited by 20 publications

(10 citation statements)

References 41 publications

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“…Due to the complexity of real problems in civil engineering, parallel GAs were often employed, for example, Adeli and Cheng () demonstrated a parallel GA for 7.7 times of speed and Adeli and Kumar () later used 512 CPUs for optimizing a structure consisting of 4,016 structural elements in parallel GAs. Some recent GA applications can be found as Li et al.’s () optimal mountain railway alignment and Koo et al.’s () optimal balances between time–cost–environment in vertical transportation for workers. CMA‐ES (Hansen and Ostermeier, ; Hansen, ) incorporates evolution processes like GA.…”

Section: Literature Reviewmentioning

confidence: 99%

Automatic Generation of Semantically Rich As‐Built Building Information Models Using 2D Images: A Derivative‐Free Optimization Approach

Xue

Chen

2018

Computer aided Civil Eng

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Over the past decade a considerable number of studies have focused on generating semantically rich as-built building information models (BIMs). However, the prevailing methods rely on laborious manual segmentation or automatic but error-prone segmentation. In addition, the methods failed to make good use of existing semantics sources. This article presents a novel segmentation-free derivative-free optimization (DFO) approach that translates the generation of asbuilt BIMs from 2D images into an optimization problem of fitting BIM components regarding architectural and topological constraints. The semantics of the BIMs are subsequently enriched by linking the fitted components with existing semantics sources. The approach was prototyped in two experiments using an outdoor and an indoor case, respectively. The results showed that in the outdoor case 12 out of 13 BIM components were correctly generated within 1.5 hours, and in the indoor case all target BIM components were correctly generated with a root-mean-square deviation (RMSD) of 3.9 cm in about 2.5 hours. The main computational novelties of this study are: (1) to translate the automatic as-built BIM generation from 2D images as an optimization problem; (2) to develop an effective and segmentation-free approach that is fundamentally different from prevailing methods; and (3) to exploit online open BIM component information for semantic enrichment, which, to a certain extent, alleviates the dilemma between information inadequacy and information overload in BIM development.

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Section: Literature Reviewmentioning

confidence: 99%

Automatic Generation of Semantically Rich As‐Built Building Information Models Using 2D Images: A Derivative‐Free Optimization Approach

Xue

Chen

2018

Computer aided Civil Eng

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“…The biological analogy is Darwin's Natural Law of Survival that postulates that a generation of species that is subjected to natural selection and mutation, evolves gradually to increase its fitness (Adeli and Sarma, ). A GA has a multipath search algorithm that can yield several peaks in parallel (Koo et al., ), thus lowering the chances of being trapped in a local minimum (Goldberg, ; Gen and Cheng, ; Adeli and Sarma, ; Koo et al., ).…”

Section: Optimizing the Timing Of The Primary System's Activitymentioning

confidence: 99%

A Methodology to Account for One‐Way Infrastructure Interdependency in Preservation Activity Scheduling

Alinizzi

Chen

Labi

et al. 2018

Computer aided Civil Eng

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This article develops an optimization framework for scheduling a programmable preservation activity for an infrastructure (primary) system that accounts for a specific context of interdependency between its maintenance phase and the operations phase of a neighboring (secondary) system. The framework identifies the optimal deterioration threshold of the primary system for the preservation activity, subject to a disruption in the operations of the neighboring system. The methodology also includes trade-off analysis using a biobjective genetic algorithm approach to accommodate the conflicting objectives associated with the costs and benefits of the programmed preservation activity. The framework provides decision makers with optimal/near optimal Pareto frontiers of the primary system's preservation activity candidate thresholds based on the costs and benefits associated with each candidate. The article demonstrates the developed framework using a case study involving colocated pavement and underground utility systems. The results of the case study show that it is feasible to use the developed framework to identify the optimal preservation activity timing for an infrastructure system whose level of service is subject to disruptions from a neighboring system. Overall, the results demonstrate that a disruptive event caused by a secondary system could influence the Pareto optimal solutions (activity thresholds) associated with the timing of a primary system's preservation activity.

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“…For conserving energy, novel elevator scheduling approaches are presented in [12][13] that contemplate the dynamic variations of electricity price and passenger traffic. In a skyscraper construction, for transporting material goods and workers, an approach is presented in [14], which uses the zoning-based methodology.…”

Section: Introductionmentioning

confidence: 99%

Traffic-based floor preference for the scheduling of elevators in elevator group control system

Sale

Prakash

2019

IJEECS

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Modern high-rise buildings require complex yet efficient Elevator Group Control Systems (EGCSs). In vertical transportation through an elevator, a passenger must make a hall call by pressing a landing call button installed at each floor and located near the cars of the elevator group. Conventionally, the EGCS allocates one of the cars for each hall call. Waiting time for the arrival of car and journey time inside a car are two parameters, which provide a suitable measure for quality and efficiency of EGCSs. The proposed system deals with this car-call allocation problem. The proposed work analyzes the generated traffic patterns to dispatch a certain number of cars to certain floors in order to reduce overall wait time of passengers. The proposed algorithm is simulated for high-rise building with 20 floors and provides a better result with the reduced wait time for more number of passengers.

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Zoning‐Based Vertical Transportation Optimization for Workers at Peak Time in a Skyscraper Construction

Cited by 20 publications

References 41 publications

Automatic Generation of Semantically Rich As‐Built Building Information Models Using 2D Images: A Derivative‐Free Optimization Approach

Automatic Generation of Semantically Rich As‐Built Building Information Models Using 2D Images: A Derivative‐Free Optimization Approach

A Methodology to Account for One‐Way Infrastructure Interdependency in Preservation Activity Scheduling

Traffic-based floor preference for the scheduling of elevators in elevator group control system

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