Municipal waste management optimisation using a firefly algorithm-driven simulation-optimisation approach
by Julian Scott Yeomans; Xin-She Yang
International Journal of Process Management and Benchmarking (IJPMB), Vol. 4, No. 4, 2014

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.

Online publication date: Fri, 31-Oct-2014

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