GASolver-A Solution to Resource Constrained Project Scheduling by Genetic Algorithm
M. Dr Mamta Madan. International Journal of Advanced Computer Science and Applications(IJACSA), (2013)
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).
%0 Journal Article
%1 IJACSA.2013.040231
%A Dr Mamta Madan, Mr Rajneesh Madan
%D 2013
%J International Journal of Advanced Computer Science and Applications(IJACSA)
%K Algorithm; Constrained Dependency GASolver.Core; Genetic Injection; Resource Scheduling.
%N 2
%T GASolver-A Solution to Resource Constrained Project Scheduling by Genetic Algorithm
%U http://ijacsa.thesai.org/
%V 4
%X 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).
@article{IJACSA.2013.040231,
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).},
added-at = {2014-02-21T08:00:08.000+0100},
author = {{Dr Mamta Madan}, Mr Rajneesh Madan},
biburl = {https://www.bibsonomy.org/bibtex/20b9ffe90184c8887dbe37dc55f10c826/thesaiorg},
interhash = {3d86e7f1a6739883ad09b4ae480634cf},
intrahash = {0b9ffe90184c8887dbe37dc55f10c826},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA)},
keywords = {Algorithm; Constrained Dependency GASolver.Core; Genetic Injection; Resource Scheduling.},
number = 2,
timestamp = {2014-02-21T08:00:08.000+0100},
title = {{GASolver-A Solution to Resource Constrained Project Scheduling by Genetic Algorithm}},
url = {http://ijacsa.thesai.org/},
volume = 4,
year = 2013
}