Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/19366

TitleThe optimal resource allocation in stochastic activity networks via the evolutionary approach : a platform implementation in Java
Author(s)Tereso, Anabela Pereira
Costa, L.
Novais, Rui A.
Araújo, Maria Madalena Teixeira de
KeywordsProject management and scheduling
Stochastic activity networks
Resource allocation
Evolutionary algorithms
Electromagnetism algorithm
Issue date2007
Abstract(s)An optimal resource allocation approach to stochastic multimodal projects had been previously developed by applying a Dynamic Programming Model, which proved to be very demanding computationally. A new approach, the Electromagnetism Algorithm had also been adapted and implemented, with better results than the Dynamic Programming Model. This paper presents another philosophy for solving the same problem, based on an Evolutionary Algorithm. This approach was implemented using an Object Oriented language, Java, and its results were compared to the Electromagnetism Algorithm. A distributed version was also developed, to be run in a computer network, in order to take advantage of available computational resources.
TypeConference paper
URIhttp://hdl.handle.net/1822/19366
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CGIT - Publicações em actas de encontros científicos / Papers in conference proceedings
CESP - Textos Completos em Actas de Encontros Científicos Internacionais com Arbitragem

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