Construction Projects’ Indicators Improvement Using Selected Metaheuristic Algorithms

Jerzy Rosłon , Jacek Zawistowski


In this paper authors present methods currently used in construction for scheduling and tasks sequencing. Authors present sample construction problem. Basing on the example, authors compare selected metaheuristic algorithms (genetic algorithm and tabu search) in terms of construction projects’ indicators improvement. The outcomes are analyzed and discussed. The conclusions of the paper might also be used as a guidelines for implementation of presented methods in construction companies.
Author Jerzy Rosłon (FCE / ICE)
Jerzy Rosłon,,
- The Institute of Civil Engineering
, Jacek Zawistowski (FCE / ICE)
Jacek Zawistowski,,
- The Institute of Civil Engineering
Journal seriesProcedia Engineering, ISSN 1877-7058
Issue year2016
Publication size in sheets0.5
ConferenceXXV Polish – Russian – Slovak Seminar “Theoretical Foundation of Civil Engineering", 11-07-2016 - 16-07-2016, Zilina, Słowacja
Keywords in Polishanaliza wielokryterialna, izolacje przeciwwodne
Keywords in Englishgenetic algorithm; tabu search; construction; optimization; scheduling; sequencing; Monte Carlo simulation
Languageen angielski
ROSŁON J..pdf 96.04 KB
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 15.0, 13-07-2020, ArticleFromJournalAndMatConfByConferenceseries
Ministerial score (2013-2016) = 15.0, 13-07-2020, ArticleFromJournalAndMatConfByConferenceseries
Publication indicators Scopus Citations = 4; WoS Citations = 3; GS Citations = 7.0
Citation count*8 (2020-09-17)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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