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

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).

Authors and Affiliations

Dr Mamta Madan, Mr Rajneesh Madan

Keywords

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  • EP ID EP130575
  • DOI 10.14569/IJACSA.2013.040231
  • Views 99
  • Downloads 0

How To Cite

Dr Mamta Madan, Mr Rajneesh Madan (2013). GASolver-A Solution to Resource Constrained Project Scheduling by Genetic Algorithm. International Journal of Advanced Computer Science & Applications, 4(2), 210-217. https://europub.co.uk/articles/-A-130575