Aminbakhsh, Saman

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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
Scopus Author ID
Turkish CoHE Profile ID
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WoS Researcher ID

Sustainable Development Goals

5

GENDER EQUALITY
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0

Research Products

14

LIFE BELOW WATER
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1

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10

REDUCED INEQUALITIES
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0

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3

GOOD HEALTH AND WELL-BEING
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0

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2

ZERO HUNGER
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0

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9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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1

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16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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0

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11

SUSTAINABLE CITIES AND COMMUNITIES
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0

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8

DECENT WORK AND ECONOMIC GROWTH
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0

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13

CLIMATE ACTION
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0

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4

QUALITY EDUCATION
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6

CLEAN WATER AND SANITATION
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0

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1

NO POVERTY
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15

LIFE ON LAND
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0

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17

PARTNERSHIPS FOR THE GOALS
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0

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7

AFFORDABLE AND CLEAN ENERGY
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1

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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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0

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Documents

15

Citations

632

h-index

8

Documents

16

Citations

532

Scholarly Output

15

Articles

11

Views / Downloads

43/0

Supervised MSc Theses

2

Supervised PhD Theses

0

WoS Citation Count

115

Scopus Citation Count

102

WoS h-index

5

Scopus h-index

4

Patents

0

Projects

0

WoS Citations per Publication

7.67

Scopus Citations per Publication

6.80

Open Access Source

4

Supervised Theses

2

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

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  • Article
    Citation - WoS: 24
    Activity Uncrashing Heuristic With Noncritical Activity Rescheduling Method for the Discrete Time-Cost Trade-Off Problem
    (Asce-amer Soc Civil Engineers, 2020) Sonmez, Rifat; Aminbakhsh, Saman; Atan, Tankut
    Despite intensive research efforts that have been devoted to discrete time-cost optimization of construction projects, the current methods have very limited capabilities for solving the problem for real-life-sized projects. This study presents a new activity uncrashing heuristic with noncritical activity rescheduling method to narrow the gap between the research and practice for time-cost optimization. The uncrashing heuristic searches for new solutions by uncrashing the critical activities with the highest cost-slope. This novel feature of the proposed heuristic enables identification and elimination of the dominated solutions during the search procedure. Hence, the heuristic can determine new high-quality solutions based on the nondominated solutions. Furthermore, the proposed noncritical activity rescheduling method of the heuristic decreases the amount of scheduling calculations, and high-quality solutions are achieved within a short CPU time. Results of the computational experiments reveal that the new heuristic outperforms state-of-the-art methods significantly for large-scale single-objective cost minimization and Pareto front optimization problems. Hence, the primary contribution of the paper is a new heuristic method that can successfully achieve high-quality solutions for large-scale discrete time-cost optimization problems.