Development of Time Couplings Method Using Evolutionary Algorithms

Rogalska, Magdalena; Bożejko, Wojciech; Hejducki, Zdzisław; Mieczyslaw, Wodecki

doi:10.22260/isarc2008/0093

Cited by 6 publications

(3 citation statements)

References 4 publications

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“…It becomes obvious that optimization processes are becoming a tool to reduce risks and material costs in the process of implementing the projects of the construction company's production programs. Along with the existing developments in the field of optimization of scheduling and resource allocation planning [1][2][3][4][5][6][7][8][9][10][11][12][13], the authors propose a more extensive optimization algorithm for managers during the formation of production programs.…”

Section: Ministrymentioning

confidence: 99%

Algorithmization of the optimization apparatus in the organization of the current planning at the companies of the building complex

Oleinik

Yurgaytis

2019

MATEC Web Conf.

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The issue of optimizing the decisions of the planning system at various levels and stages of construction production is one of the most important aspects of managerial and engineering activities at the construction enterprise. Such optimization is a complex multifactorial task, the solutions of which are reflected in the established documents based on the results of planning. The main document in this respect is the production and economic program (plan) developed by the planning and economic department of the corresponding construction enterprise, depending on the existing destabilizing factors and constraints established by the results of the integrated planning procedure (annual and strategic). The article discusses the concept of the annual production program of a construction company and a new approach to optimize the algorithm for distributing the resource potential between objects of the annual program.

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Section: Ministrymentioning

confidence: 99%

Algorithmization of the optimization apparatus in the organization of the current planning at the companies of the building complex

Oleinik

Yurgaytis

2019

MATEC Web Conf.

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“…A hybrid approach followed by Burns et al (1996), which used LP to find a lower bound of the trade-off curve and integer programming to find the exact solution for any desired duration. Rogalska et al (2008), in his paper presented an analysis of the time/cost relationship, performed using time coupling method TCM III (a modified hybrid evolutionary algorithm). Some researchers (De et al, 1995;Elmagrhraby, 1993;Robinson, 1975) used dynamic programming to solve time-cost trade-off for networks that can be decomposed to pure series or parallel sub-networks.…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy Based Project Time-Cost Optimization Using Simulated Annealing Search Technique

Haque

Hasin

2014

International Journal of Information Technology Project Management

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The Project time-cost optimization is inherently a complex task. Because of various kinds of uncertainties, such as weather, productivity level, inflation, human factors etc. during project execution process, time and cost of each activity may vary significantly. The complexity multiplies several folds when the operational times are not deterministic, rather fuzzy in nature. Therefore, deterministic models for time-cost optimization are not yet efficient. It is very difficult to find the exact solution of savings in both time and cost. To make such problems realistic, triangular fuzzy numbers and the concept of a-cut method in fuzzy logic theory are employed to model the problem. Because of NP-hard nature of the project scheduling problem, this paper develops a simple approach with Simulated Annealing (SA) based searching technique. The proposed model leads the decision makers to choose the desired solution under different values of a-cut. Finally, taking a real project, the performance of SA has been tested.

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“…During writing of this article, sources from the bibliographic list [1][2][3][4][5][6][7]18] were used, in which methods for optimizing calendar plans were studied.…”

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confidence: 99%

Methods for the formation and optimization of calendar plans for construction companies

et al. 2018

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This article describes the methods of forming and optimizing the calendar plans of construction enterprises, their nature and applicability in different specific cases. The main types of schedules and schedules of planning of building processes and normative documents used in the formation of calendar plans are also described. In addition to existing and actively used methods for optimizing calendar plans, new directions for the development of optimization algorithms are described, which are just beginning to be introduced into building technologies.

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Development of Time Couplings Method Using Evolutionary Algorithms

Cited by 6 publications

References 4 publications

Algorithmization of the optimization apparatus in the organization of the current planning at the companies of the building complex

Algorithmization of the optimization apparatus in the organization of the current planning at the companies of the building complex

Fuzzy Based Project Time-Cost Optimization Using Simulated Annealing Search Technique

Methods for the formation and optimization of calendar plans for construction companies

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