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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

GASolver-A Solution to Resource Constrained Project Scheduling by Genetic Algorithm

Author 1: Dr Mamta Madan
Author 2: Mr Rajneesh Madan

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2013.040231

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 2, 2013.

  • Abstract and Keywords
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Abstract: The Resource Constrained Scheduling Problem (RCSP) represents an important research area. Not only exact solution but also many heuristic methods have been proposed to solve RCPSP (Resource Constrained Project Scheduling Problem). It is an NP hard problem. Heuristic methods are designed to solve large and highly Resource Constrained software projects. We have solved the problem of resource constrained scheduling problem and named as GASolver. It is implemented in C# using .net platform. We have used Dependency Injection to make the problem loosely coupled, so that other arena of scheduling like Time Cost Tradeoff (CT), Payment Scheduling (PS) etc can be merged with same solution in the future. We have implemented GASolver using Genetic Algorithm (GA).

Keywords: Genetic Algorithm; Dependency Injection; GASolver.Core; Resource Constrained Scheduling.

Dr Mamta Madan and Mr Rajneesh Madan, “GASolver-A Solution to Resource Constrained Project Scheduling by Genetic Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 4(2), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040231

@article{Madan2013,
title = {GASolver-A Solution to Resource Constrained Project Scheduling by Genetic Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040231},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040231},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {2},
author = {Dr Mamta Madan and Mr Rajneesh Madan}
}


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