Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Civil Engineering Dimension

Optimization of resource leveling problem under multiple objective criteria using a symbiotic organisms search Prayogo, Doddy; Kusuma, Christianto Tirta
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.
Layout, Topology, and Size Optimization of Steel Frame Design Using Metaheuristic Algorithms: A Comparative Study Prayogo, Doddy; Santoso, Hasan; Budiman, Franky; Jason, Marcellino
Civil Engineering Dimension Vol. 24 No. 1 (2022): MARCH 2022
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (568.419 KB) | DOI: 10.9744/ced.24.1.31-37

Abstract

Determining the topology, layout, and size of structural elements is one of the most important aspects in designing steel seismic-resistant structures. Optimization of these parameters is beneficial to find the lightest weight of the structure, thus reducing construction cost. This study compares the performance of three metaheuristic algorithms, namely, Particle Swarm Optimization (PSO), Symbiotic Organisms Search (SOS), and Differential Evolution (DE). Three study cases are used in order to find the lightest structural weight without violating constraints based on SNI 1726:2019, SNI 1729:2020, and SNI 7860:2020. The results of this study show that SOS has better performance than other algorithms.