Optimization of managing construction projects activities via the application of genetic algorithm

Other Title(s)

تحسين الاستفادة من إدارة أنشطة مشاريع البناء من خلال تطبيق الخوارزمية الجيني

Dissertant

Abu Ayshah, Suhaib Ziyad Khalil

Thesis advisor

Muhammad, Ibrahim Abd
al-Rabadi, Anas Nasir

University

Isra University

Faculty

Faculty of Engineering

Department

Engineering Project Management

University Country

Jordan

Degree

Master

Degree Date

2020

English Abstract

Project management prior almost three decades have many challenges and constraints including laborious tasks and hand operated project activities scheduling, besides long manual project calculations and time-consuming cost analysis.

Genetic algorithm (GA) has simplified for project managers diverse large-scale projects monitoring and administrating and allows them control quality of the projects through unique solution methodologies which take decision through multiple selection steps in order to find the optimized.

In this work, GA is applied as a case study for constructing a road project near Amman, the capital of Jordan, with total length of 1.16 km as well as a total width of 16 meters.

After conducting this work, it was found that GA has chosen the one option between three ones provided in order to completely achieved the twelve activities of road construction project using the least amount of both cost as well as time.

It was found that the costliest activities were bituminous first- and second-layers execution.

Additionally, G6 was the best generation that corresponded to a cost of 1,085,128.5 JD, i.e.

1,530,524.9 US$.

The fitness value of cost and duration is 43.43, and duration needed to execute the activities of the road construction project is 365 days.

This work recommends many points to enhance the outputs from GA process.

Main Topic

Civil Engineering

No. of Pages

84

Table of Contents

Table of contents.

Abstract.

Abstract in Arabic.

Chapter One : Introduction.

Chapter Two : Literature review.

Chapter Three : Genetic algorithm .

Chapter Four : Research methodology.

Chapter Five : Results and discussions.

Chapter Six : Conclusions and recommendations.

References.

American Psychological Association (APA)

Abu Ayshah, Suhaib Ziyad Khalil. (2020). Optimization of managing construction projects activities via the application of genetic algorithm. (Master's theses Theses and Dissertations Master). Isra University, Jordan
https://search.emarefa.net/detail/BIM-988678

Modern Language Association (MLA)

Abu Ayshah, Suhaib Ziyad Khalil. Optimization of managing construction projects activities via the application of genetic algorithm. (Master's theses Theses and Dissertations Master). Isra University. (2020).
https://search.emarefa.net/detail/BIM-988678

American Medical Association (AMA)

Abu Ayshah, Suhaib Ziyad Khalil. (2020). Optimization of managing construction projects activities via the application of genetic algorithm. (Master's theses Theses and Dissertations Master). Isra University, Jordan
https://search.emarefa.net/detail/BIM-988678

Language

English

Data Type

Arab Theses

Record ID

BIM-988678