Software Project Scheduling Using the Hyper-Cube Ant Colony Optimization Algorithm

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2015

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Univ Osijek, Tech Fac

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Computer Engineering
(1998)
The Atılım University Department of Computer Engineering was founded in 1998. The department curriculum is prepared in a way that meets the demands for knowledge and skills after graduation, and is subject to periodical reviews and updates in line with international standards. Our Department offers education in many fields of expertise, such as software development, hardware systems, data structures, computer networks, artificial intelligence, machine learning, image processing, natural language processing, object based design, information security, and cloud computing. The education offered by our department is based on practical approaches, with modern laboratories, projects and internship programs. The undergraduate program at our department was accredited in 2014 by the Association of Evaluation and Accreditation of Engineering Programs (MÜDEK) and was granted the label EUR-ACE, valid through Europe. In addition to the undergraduate program, our department offers thesis or non-thesis graduate degree programs (MS).

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Abstract

This paper introduces a proposal of design of Ant Colony Optimization algorithm paradigm using Hyper-Cube framework to solve the Software Project Scheduling Problem. This NP-hard problem consists in assigning tasks to employees in order to minimize the project duration and its overall cost. This assignment must satisfy the problem constraints and precedence between tasks. The approach presented here employs the Hyper-Cube framework in order to establish an explicitly multidimensional space to control the ant behaviour. This allows us to autonomously handle the exploration of the search space with the aim of reaching encouraging solutions.

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johnson, franklin/0000-0003-4522-3809; Misra, Sanjay/0000-0002-3556-9331; Crawford, Broderick/0000-0001-5500-0188
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johnson, franklin ORCID logo
Misra, Sanjay ORCID logo
Crawford, Broderick ORCID logo

Keywords

Ant Colony Optimization, Hyper-Cube, scheduling, Software Project Management

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Q4

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Q3

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Volume

22

Issue

5

Start Page

1171

End Page

1178

URI

https://doi.org/10.17559/TV-20140519212813
 https://hdl.handle.net/20.500.14411/792

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