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14] Androulakis, I. P. : A genetic algorithmic framework for process design and optimization, Computers Chem. Engng. 15(4) (1991), 217–228. [15] Byrne, R. P. and Bogle, I. D. : Global optimisation of constraiuned non-convex programs using reformulation and interval analysis, Computers Chem. Engng. 23 (1999), 1341–1350. [16] Garrard, A. and Fraga, E. : Mass exchange network synthesis using genetic algorithms, Computers Chem. Eng. 22(12) (1998), 1837–1850. [17] Quesada, I. and Grossmann, I. : Global optimization algorithm for heat-exchanger networks, Ind.

If there are certain restrictions on depreciation rate then (C1)–(C2) are also satisfy. Similar to previous consideration let us denote C OROLLARY 2. An optimal depreciation rate for DB method under restrictions is the following where 4. Some Numeric Examples In this section we calculate optimal depreciation rates in some examples using adjusted real data. As reasonable sets of the parameter values, we will consider (similar as in [3,8]) investment projects with expected growth rate varying from – 1% to 3%, volatility and discount rate from 10% to 20% (all parameters here and further will be annual).

Dordrecht, 1996. [9] Floudas, C. : Recent advances in global optimization for process synthesis, design and control: Enclosure of all solutions. Computers Chem. Engng. 23(Suppl) (1999), S963–S973. 48 I. D. L. Bogle and R. P. Byrne [10] Adjiman, C. , Androulakis, I. , Maranas, C. D. and Floudas, C. : A global optimisation method, for process design, Computers Chem. Engng. 20S (1996), S419–S424. [11] Vaidyanathan, R. : Global optimisation of nonconvex programs via interval analysis, Comput. Chem.