Hybrid evolutionary algorithm for multi-mode resource-constrained project scheduling problem
Scheduling problem is ubiquitous in many industries. However, real industrial scheduling problem can sometimes become too complicated. Therefore, specific problems are formulated as instances that can be studied in detail; one of which is known as the Multi-mode Resource-Constrained Project Scheduli...
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sg-ntu-dr.10356-441422023-03-03T20:58:44Z Hybrid evolutionary algorithm for multi-mode resource-constrained project scheduling problem Marshal, Brian. Low Yoke Hean, Malcolm School of Computer Engineering A*STAR SIMTech Centre for Computational Intelligence Ho Nhu Binh DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity Scheduling problem is ubiquitous in many industries. However, real industrial scheduling problem can sometimes become too complicated. Therefore, specific problems are formulated as instances that can be studied in detail; one of which is known as the Multi-mode Resource-Constrained Project Scheduling Problem (MRCPSP). Solving MRCPSP itself is very challenging since, up to now, no polynomial approach is able to solve it optimally. In MRCPSP, a project has a list of non-preemptable activities; each of them is to be executed in one of the several modes representing a relation between resources requirement and execution duration. The schedule has to be precedence-feasible as well as resource-feasible. Bachelor of Engineering (Computer Science) 2011-05-26T09:29:26Z 2011-05-26T09:29:26Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/44142 en Nanyang Technological University 46 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity Marshal, Brian. Hybrid evolutionary algorithm for multi-mode resource-constrained project scheduling problem |
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Scheduling problem is ubiquitous in many industries. However, real industrial scheduling problem can sometimes become too complicated. Therefore, specific problems are formulated as instances that can be studied in detail; one of which is known as the Multi-mode Resource-Constrained Project Scheduling Problem (MRCPSP). Solving MRCPSP itself is very challenging since, up to now, no polynomial approach is able to solve it optimally.
In MRCPSP, a project has a list of non-preemptable activities; each of them is to be
executed in one of the several modes representing a relation between resources
requirement and execution duration. The schedule has to be precedence-feasible as
well as resource-feasible. |
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Low Yoke Hean, Malcolm |
author_facet |
Low Yoke Hean, Malcolm Marshal, Brian. |
format |
Final Year Project |
author |
Marshal, Brian. |
author_sort |
Marshal, Brian. |
title |
Hybrid evolutionary algorithm for multi-mode resource-constrained project scheduling problem |
title_short |
Hybrid evolutionary algorithm for multi-mode resource-constrained project scheduling problem |
title_full |
Hybrid evolutionary algorithm for multi-mode resource-constrained project scheduling problem |
title_fullStr |
Hybrid evolutionary algorithm for multi-mode resource-constrained project scheduling problem |
title_full_unstemmed |
Hybrid evolutionary algorithm for multi-mode resource-constrained project scheduling problem |
title_sort |
hybrid evolutionary algorithm for multi-mode resource-constrained project scheduling problem |
publishDate |
2011 |
url |
http://hdl.handle.net/10356/44142 |
_version_ |
1759854725346361344 |