Aminbakhsh, Saman

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/6691
Name Variants
Saman, Aminbakhsh
S., Aminbakhsh
A., Saman
Saman Aminbakhsh
S.,Aminbakhsh
Aminbakhsh,Saman
A.,Saman
Aminbakhsh, Saman
Aminbakhsh,S.
Job Title
Doktor Öğretim Üyesi
Email Address
saman.aminbakhsh@atilim.edu.tr
Main Affiliation
Civil Engineering
Status
Website
ORCID ID
0000-0002-4389-1910
Scopus Author ID
55768552300
Turkish CoHE Profile ID
8D50169F8600DF9B
Google Scholar ID
JRu69LMAAAAJ
WoS Researcher ID
LIF-9792-2024

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
Research Products
GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
0
Research Products
GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
1
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
1
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents

15

Citations

632

h-index

8

Go to Scopus profile
Documents

16

Citations

532

Go to WoS profile
Scholarly Output

16

Articles

12

Views / Downloads

43/0

Supervised MSc Theses

2

Supervised PhD Theses

0

WoS Citation Count

118

Scopus Citation Count

109

Patents

0

Projects

0

WoS Citations per Publication

7.38

Scopus Citations per Publication

6.81

Open Access Source

5

Supervised Theses

2

JournalCount
Journal of Construction Engineering, Management & Innovation2
Structures2
European Journal of Operational Research1
Journal of Building Engineering1
Journal of Construction Engineering and Management1
Current Page: 1 / 3

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Filters

2024 - 20252
Reset filters

Settings

Subject: Multi-Objective Optimization

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Article
    Effects of Topological Structure of Project Network on Computational Cost
    (Golden Light Publ, 2024) Aminbakhsh, Saman
    Understanding how network complexity affects optimization algorithms is crucial for improving computational efficiency. This study investigates how variations in network complexity impact the performance of optimization algorithms. By examining networks with different serial/parallel indicator (I2) values, the research uncovers several key insights into how topology influences computational requirements. The experiments show that higher I2 values, which are closer to serial configurations, heighten the problem's complexity. This study reveals that networks with lower I2 values, which exhibit steeper time-cost curves with fewer solutions over their efficient frontiers, require significantly more CPU time, indicating that project complexity does not necessarily scale with the extend of the Pareto fronts. This contradicts the expectation that more Pareto front solutions would inherently demand greater computational resources. Lastly, the study highlights that while the number of time-cost realizations is often used to gauge project complexity, it may not be conclusive on its own and that one complexity measure can outperform another. Although it can be an effective indicator, it does not fully capture the computational challenges posed by different network topologies. This study further acknowledges the difficulty in establishing a clear link between project performance and complexity due to the multifaceted nature of the problem. The findings suggest that exploring similar problems in other contexts could provide valuable insights into understanding and managing computational complexity.
  • Thumbnail Image
    Article
    Citation - WoS: 4
    Citation - Scopus: 4
    Ε-Constraint Procedures for Pareto Front Optimization of Large Size Discrete Time/Cost Trade-Off Problem
    (Elsevier, 2025) Aminbakhsh, Saman; Sonmez, Rifat; Atan, Tankut
    The discrete time/cost trade-off problem (DTCTP) optimizes the project duration and/or cost while considering the trade-off between activity durations and their direct costs. The complete and non-dominated time-cost profile over the set of feasible project durations is achieved within the framework of Pareto front problem. Despite the importance of Pareto front optimization in project and portfolio management, exact procedures have achieved very limited success in solving the problem for large size instances. This study develops exact procedures based on combinations of mixed-integer linear programming (MILP), epsilon-constraint method, network and problem reduction techniques, and present new bounding strategies to solve the Pareto problem for large size instances. This study also provides new large size benchmark problem instances aiming to represent the size of real-life projects for the DTCTP. The new instances, therefore, are generated to include up to 990 activities and nine execution modes. Computational experiments reveal that the procedures presented herein can remarkably outperform the state-of-the-art exact methods. The new exact procedures enabled obtaining the optimal Pareto front for instances with serial networks that include more than 200 activities for the first time.