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Advanced & efficient simheuristic based on a Genetic Algorithm for project portfolio optimization, including realistic instance generator with schedules, risk reg. and project risk correlations.

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PPSP_simheuristic_Montecarlo_with_GA_Optimization

This code corresponds to a simheuristic approach to the Project Portfolio Selection Problem. The risk register, the schedule network (analyzed via critical path method) and baseline cost and stochastic cash flows are simulated to obtain a project reliability curve. Project reliabilities are aggregated, considering also correlations to evaluate the portfolio reliability. Portfolio reliability becomes as a constraint, so that promising portfolios are extracted that maximize returns within a specified reliability level. This code uses a realistic instance of 20 projects, and features an experiment to validate the algorithm and evaluate its performance It also includes a realistic instance generator, for other researchers that may be interested in further testing of alternate algorithms For a more detailed explanation, you can read our related paper in the Journal xxxxxx. [DOI:xx.xxxx/x.xxx.xxxx.xxxxxx] (http://dx.doi.org/xxxx)

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Advanced & efficient simheuristic based on a Genetic Algorithm for project portfolio optimization, including realistic instance generator with schedules, risk reg. and project risk correlations.

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