Abstract
Optimization models in environmental systems consist of a set of objectives, constraints, and decision or control variables. The decision variables detail the possible operational, planning, or design alternatives. In many problems, decision variables include state variables of the environmental system. The optimization models are predicated on mathematical models describing the underlying flow, mass, or energy transport processes. The mathematical models are used in optimization modeling to relate how the decision variables affect the state variables of the environmental system.
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Willis, R., Finney, B.A. (2004). An Introduction to Optimization Theory. In: Environmental Systems Engineering and Economics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0479-5_2
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DOI: https://doi.org/10.1007/978-1-4615-0479-5_2
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