Resumo

GARCIA VACACELA, Roberto et al. Experiences by using genetic algorithms in project scheduling. Rev cuba cienc informat [online]. 2016, vol.10, suppl.1, pp. 71-86. ISSN 2227-1899.

ABSTRACT Usually project scheduling is presented as problem to order project tasks keeping the tasks precedence relationship. Besides, in this problem, human and non-human resources should be assign to each tasks without violate the resources availability each time. Nowadays around 61% of software´s projects are challenged o cancelled with high negative impacts both economic and social too. Many of these fails have a commons reasons such as: project scheduling errors, low level of knowledge of standards and not enough tools to help specialist in project scheduling. Different authors present project scheduling problems, as optimization NP-hard problem, with limited resources. In order to solve projects scheduling in software´s projects environments. In this paper authors discuss mathematics formalization of multiple projects optimization problem. They present a genetic algorithm´s design and different crossover and mutation operators. Finally, the genetic algorithm designed, were applied in two project scheduling´s data sets: PSLIB data set and scheduling data set of Project management Laboratory generated form GESPRO system.

Palavras-chave : Project scheduling; software projects; metaheuristics; genetic algorithm; gespro.

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