Publication: Finding multi-constrained path using genetic algorithm
| dc.citedby | 13 | |
| dc.contributor.author | Yussof S. | en_US |
| dc.contributor.author | See O.H. | en_US |
| dc.contributor.authorid | 16023225600 | en_US |
| dc.contributor.authorid | 16023044400 | en_US |
| dc.date.accessioned | 2023-12-28T08:57:34Z | |
| dc.date.available | 2023-12-28T08:57:34Z | |
| dc.date.issued | 2007 | |
| dc.description.abstract | To properly support networked multimedia applications, it is important for the network to provide quality-of-service (QoS) guarantees. One way to provide QoS guarantees is for the network to perform QoS routing, where the path taken must fulfill certain constraints. Multi-constrained path (MCP) problem refers to the problem of finding a path through a network subject to multiple additive constraints. It has been proven that this problem is NP-complete and therefore no exact algorithm can be found. As such, various heuristics and approximation algorithms have been proposed to solve the MCP problem. This paper presents a solution to the MCP problem using genetic algorithm (GA). Through simulation, this algorithm has been shown to give a high probability of finding a feasible path if such paths exist. �2007 IEEE. | en_US |
| dc.description.nature | Final | en_US |
| dc.identifier.ArtNo | 4448579 | |
| dc.identifier.doi | 10.1109/ICTMICC.2007.4448579 | |
| dc.identifier.epage | 718 | |
| dc.identifier.scopus | 2-s2.0-48349139409 | |
| dc.identifier.spage | 713 | |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-48349139409&doi=10.1109%2fICTMICC.2007.4448579&partnerID=40&md5=645eb116880b3b93668d16d08ddc2966 | |
| dc.identifier.uri | https://irepository.uniten.edu.my/handle/123456789/29757 | |
| dc.pagecount | 5 | |
| dc.source | Scopus | |
| dc.sourcetitle | Proceeding - 2007 IEEE International Conference on Telecommunications and Malaysia International Conference on Communications, ICT-MICC 2007 | |
| dc.subject | Genetic algorithm | |
| dc.subject | Multi-constrained path | |
| dc.subject | QoS routing | |
| dc.subject | Algorithms | |
| dc.subject | Bioelectric phenomena | |
| dc.subject | Diesel engines | |
| dc.subject | Food additives | |
| dc.subject | Genetic algorithms | |
| dc.subject | Heuristic programming | |
| dc.subject | Image storage tubes | |
| dc.subject | Nuclear propulsion | |
| dc.subject | Quality of service | |
| dc.subject | Telecommunication systems | |
| dc.subject | Exact algorithms | |
| dc.subject | Genetic algorithm | |
| dc.subject | Genetic Algorithm (GA) | |
| dc.subject | High probability | |
| dc.subject | International conferences | |
| dc.subject | Malaysia | |
| dc.subject | Multi-constrained path | |
| dc.subject | Multimedia applications | |
| dc.subject | NP-Complete | |
| dc.subject | One way | |
| dc.subject | QoS guarantees | |
| dc.subject | QoS routing | |
| dc.subject | Approximation algorithms | |
| dc.title | Finding multi-constrained path using genetic algorithm | en_US |
| dc.type | Conference paper | en_US |
| dspace.entity.type | Publication |