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

Related Articles

A Novel Method to Design S-Boxes Based on Key-Dependent Permutation Schemes and its Quality Analysis

S-boxes are used in block ciphers as the important nonlinear components. The nonlinearity provides important protection against linear and differential cryptanalysis. The S-boxes used in encryption process could be chose...

Load Balancing for Improved Quality of Service in the Cloud

Due to the advancement in technology and the growth of human society, it is necessary to work in an environment that reduces costs, resource-efficient, reduces man power and minimizes the use of space. This led to the em...

Evaluation of APi Interface Design by Applying Cognitive Walkthrough

The usability evaluation of APi interface design was conducted through Cognitive Walkthrough method. APi is a mobile application game designed specifically for preschool children of Tabika Kemas Kampung Berawan, Limbang...

Emergence of Unstructured Data and Scope of Big Data in Indian Education

The Indian Education sector has grown exponentially in the last few decades as per various official reports[22]. Large amount of information pertaining to education sector is generated every year. This has led to the req...

Quality of Service Provisioning in Biosensor Networks

Biosensor networks are wireless networks consisting of tiny biological sensors (biosensors, for short) that can be implanted inside the body of human and animal subjects. Biosensors can measure various biological process...

Download PDF file
  • EP ID EP130575
  • DOI 10.14569/IJACSA.2013.040231
  • Views 64
  • 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