SSJ: a framework for stochastic simulation in Java. We introduce SSJ, an organized set of software tools implemented in the Java programming language and offering general-purpose facilities for stochastic simulation programming. It supports the event view, process view, continuous simulation, and arbitrary mixtures of these. Performance, flexibility, and extensibility were key criteria in its design and implementation. We illustrate its use by simple examples and discuss how we dealt with some performance issues in the implementation.

This software is also peer reviewed by journal TOMS.

References in zbMATH (referenced in 12 articles )

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  1. Fontecha, John E.; Guaje, Oscar O.; Duque, Daniel; Akhavan-Tabatabaei, Raha; Rodríguez, Juan P.; Medaglia, Andrés L.: Combined maintenance and routing optimization for large-scale sewage cleaning (2020)
  2. Gutierrez, Andres; Dieulle, Laurence; Labadie, Nacima; Velasco, Nubia: A hybrid metaheuristic algorithm for the vehicle routing problem with stochastic demands (2018)
  3. Amrouss, Amine; El Hachemi, Nizar; Gendreau, Michel; Gendron, Bernard: Real-time management of transportation disruptions in forestry (2017)
  4. Löhndorf, Nils: An empirical analysis of scenario generation methods for stochastic optimization (2016)
  5. Dominguez, Oscar; Juan, Angel A.; Faulin, Javier: A biased-randomized algorithm for the two-dimensional vehicle routing problem with and without item rotations (2014)
  6. Ewald, Roland; Uhrmacher, Adelinde M.: SESSL: a domain-specific language for simulation experiments (2014)
  7. Avramidis, Athanassios N.; Chan, Wyean; Gendreau, Michel; L’Ecuyer, Pierre; Pisacane, Ornella: Optimizing daily agent scheduling in a multiskill call center (2010)
  8. Doan, Viet Dung; Gaikwad, Abhijeet; Bossy, Mireille; Baude, Françoise; Stokes-Rees, Ian: Parallel pricing algorithms for multi-dimensional Bermudan/American options using Monte Carlo methods (2010)
  9. L’Ecuyer, P.; Sanvido, C.: Coupling from the past with randomized quasi-Monte Carlo (2010)
  10. Mendoza, Jorge E.; Castanier, Bruno; Guéret, Christelle; Medaglia, Andrés L.; Velasco, Nubia: A memetic algorithm for the multi-compartment vehicle routing problem with stochastic demands (2010)
  11. L’Ecuyer, Pierre: Quasi-Monte Carlo methods with applications in finance (2009)
  12. Tribble, Seth D.; Owen, Art B.: Construction of weakly CUD sequences for MCMC sampling (2008)