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All Journal Civil Engineering Dimension
Christianto Tirta Kusuma
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Civil Engineering, Building, Construction & Architecture

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Optimization of resource leveling problem under multiple objective criteria using a symbiotic organisms search Doddy Prayogo; Christianto Tirta Kusuma
Civil Engineering Dimension Vol. 21 No. 1 (2019): MARCH 2019
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1055.242 KB) | DOI: 10.9744/ced.21.1.43-49

Abstract

Bad scheduling and resource management can cause delays or cost overruns. Optimization in solving resource leveling is necessary to avoid those problems. Several objective criteria are used to solve resource leveling. Each of them has the same objective, which is to reduce the fluctuation of resource demand of the project. This study compares the performance of particle swarm optimization (PSO) and symbiotic organisms search (SOS) in solving resource leveling problems using separate objective functions in order to find which one produces a better solution. The results show that SOS produced a better solution than PSO, and one objective function is better in solving resource leveling than the others.
Co-Authors Doddy Prayogo