A Crew Model using GAIIPDM in Repetitive Projects
Jeeno Mathew1, Brijesh Paul2
1Jeeno Mathew, Research Scholar, Mechanical Engineering department, Mar Athanasious College of Engineering Kothamangalam, Mahatma Gandhi University, Kerala, India.
2Dr. Brijesh Paul, Professor, Mechanical Engineering department, Mar Athanasious College of Engineering Kothamangalam, Kerala, India.
Manuscript received on 20 August 2019. | Revised Manuscript received on 25 August 2019. | Manuscript published on 30 September 2019. | PP: 7621-7626 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6179098319/2019©BEIESP | DOI: 10.35940/ijrte.C6179.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Several indistinguishable or comparative tasks/works in a project are generally alluded to as repetitive projects. A project have group of tasks which is repetitive in nature in all over the project or a similar plan in different positions are commonly known as repetitive project. In repetitive project businesses, distinctive crew choices are accessible for each task, and selecting the best choice to a task is a noteworthy test for administrators of a project. Since acquiring optimum results is found computationally escalated for this type of problems, a modified Genetic Algorithm based technique is developed to schedule projects to satisfy different goals like minimizing total task time and the total expenditure of the project, with the constraints of precedence connections between different tasks, precedence connections between different sites and the due time within which different tasks to be finished. The performance of the proposed method is compared with solutions created using existing algorithms like simple GA and ABC. Exact solutions generated by solving the developed mathematical model is utilized for validating the solutions acquired by modified GA. The computational outcomes demonstrate that the proposed GAIIPDM methodology performs significantly well in terms of quality of solutions.
Keywords: ABC, GA, GAIIPDM, Repetitive Projects.
Scope of the Article: Open Models and Architectures