WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 16, 2019
Water Management Using Population-Based Simulation-Optimization
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Abstract: Water resources management (WRM) problems can often be dominated by inconsistent performance requirements and incompatible performance specifications that can be difficult to identify when supporting decision models must be constructed. Consequently, it is often advantageous to create a set of dissimilar options that provide distinct approaches to such problems. These alternatives need to satisfy the required performance criteria and yet be maximally different from each other in their decision spaces. The approach for creating maximally different sets of solutions is referred to as modelling-to-generate-alternatives (MGA). Simulation-optimization procedures are frequently employed to solve computationally difficult problems containing significant stochastic uncertainties. This paper describes a simulation-optimization method that can generate sets of maximally different alternatives. This simulation-optimization approach is both computationally efficient and simultaneously produces the prescribed number of maximally different solution alternatives in a single computational run of the procedure. The efficacy of this stochastic MGA approach is demonstrated using a “real world” water resource management planning case.
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Pages: 164-173
WSEAS Transactions on Information Science and Applications, ISSN / E-ISSN: 1790-0832 / 2224-3402, Volume 16, 2019, Art. #19