Municipal waste management optimisation using a firefly algorithm-driven simulation-optimisation approach

Julian Scott Yeomans and Xin-She Yang

International Journal of Process Management and Benchmarking, 2014, vol. 4, issue 4, 363-375

Abstract: Many municipal solid waste management decision-making applications contain considerable elements of stochastic uncertainty. Simulation-optimisation techniques can be adapted to model a wide variety of problem types in which system components are stochastic. The family of optimisation methods referred to as simulation-optimisation incorporate stochastic uncertainties expressed as probability distributions directly into their computational procedures. In this paper, a new simulation-optimisation approach is presented that implements a modified version of the computationally efficient, nature-inspired firefly algorithm (FA). The effectiveness of this stochastic FA-driven simulation-optimisation procedure for optimisation is demonstrated using a municipal solid waste management case study.

Keywords: simulation; optimisation; bio-inspired metaheuristics; firefly algorithm; solid waste management; municipal solid waste; MSW; stochastic uncertainty; case study. (search for similar items in EconPapers)
Date: 2014
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