NDLI: Radius particle swarm optimization for resource constrained project scheduling problem

Content Provider	IEEE Xplore Digital Library
Author	Anantathanvit, M. Munlin, M.-A.
Copyright Year	2014
Description	Author affiliation: Fac. of Inf. Sci. & Technol., Mahanakorn Univ. of Technol., Bangkok, Thailand (Anantathanvit, M.; Munlin, M.-A.)
Abstract	The Resource-Constrained Project Scheduling Problem (RCPSP) is a classical well-known and NP-hard problem which includes the resource and precedence constraints that has been applied to many applications. This paper proposes the Radius Particle Swarm Optimization (RPSO) to solve the RCPSP. It extends the Particle Swarm Optimization (PSO) by regrouping the agent particles within the appropriate radius of the circle. It initializes the group of particles, calculate the fitness function, and find the best particle in that group. It is then applied to the RCPSP to find the best scheduling. The proposed method is tested against the PSPLIB standard datasets. The results show that the R-PSO gives better average makespan and standard deviation than traditional PSO.
Starting Page	24
Ending Page	29
File Size	1163048
Page Count	6
File Format	PDF
e-ISBN	9781479934973
DOI	10.1109/ICCITechn.2014.6997330
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-08
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Schedules Sociology Radius Particle Swarm Optimization (R-PSO) Resource constrained Project Scheduling Problem (RCPSP) Particle Swarm Optimization (PSO) Topology Particle swarm optimization Statistics Genetic algorithms
Content Type	Text
Resource Type	Article

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