Decision making related with Municipal Solid waste management is a challenging exercise where number of techno-economical and environment factors conflicting to each other need to be optimized. However, mathematical modeling and optimization techniques based on artificial intelligence can be used in such instances in order to support decision making. Novel multi-objective optimization algorithm based on evolutionary computation was developed carry out this task. Direct land filling, direct incineration and Residual Derived Fuel (RDF) production were taken as the three main alternatives in this algorithm. Number of different alternative technologies related with these three processes was taken into consideration in the mathematical model, optimization algorithm and subsequently in the decision making process.
Researchers
A. T. D. Perera, D.N.S. Kuruppumullage, N.A.I.D. Nissanka, A.A.P. de Alwis