Development of a discrete-event, stochastic multi-objective metaheuristic simulation optimisation suite for a commercial software package

CITATION: Bamporiki, T. V. & Bekker, J. 2018. Development of a discrete-event, stochastic multi-objective metaheuristic simulation optimisation suite for a commercial software package. South African Journal of Industrial Engineering, 29(3):12-25, doi:10.7166/29-3-2045.The original publication is available at http://sajie.journals.ac.zaENGLISH ABSTRACT: In this paper, the authors present the development of an optimisation suite and its implementation. This paper is part of an ongoing project that aims at developing a hybrid metaheuristic optimisation suite to solve multi-objective simulation optimisation problems. The suite is developed as a third-party library to solve discrete-event, stochastic simulation optimisation (SO) problems with multi-objectives, and is integrated with Tecnomatix Plant Simulation, a simulation software package developed by Siemens. Two real-life multi-objective SO problems are selected to test the suite’s performance, and the test results are discussed.AFRIKAANSE OPSOMMING: In hierdie artikel bespreek die outeurs die ontwikkeling en implementering van ’n optimering-suite. Die studie vorm deel van ’n lopende projek wat die ontwikkeling van ’n hibriede optimering-suite vir multi-doelwitoptimering nastreef. Die suite word ontwikkel as ’n derdeparty-biblioteek om diskrete gebeurtenis, stogastiese simulasieprobleme met multi-doelwitte op te los, en dit dan met Tecnomatix Plant Simulation van Siemens te integreer. Twee realistiese multi-doelwitsimulasie-optimerings-probleme is gekies om die werkverrigting van die suite te evalueer, en die resultate word bespreek.http://sajie.journals.ac.za/pub/article/view/2045Publisher's versio