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The business problem of having inefficient processes, imprecise process analyses and simulations as well as non-transparent artificial neuronal network models can be overcome by an easy-to-use modeling concept. With the aim of developing a flexible and efficient approach to modeling, simulating...
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regulation. This paper focuses on the simulation-optimization for conjunctive use of surface water and groundwater on a basin … the simulation-optimization model is to minimize shortages in meeting irrigation demands for three irrigation systems … surface water and groundwater interaction while a genetic algorithm is developed as the optimization model. The main goal of …
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simulation method is developed to evaluate the cost of the CBM policy. A numerical example is provided to illustrate the proposed …
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describe traditional forms of Evolutionary Optimization Systems such as Genetic Algorithms, Evolutionary Strategies …, Evolutionary Programming, Particle Swarm Optimization and differential evolution (DE). Then, a relatively new evolutionary paradigm …-PCX. Success of this exercise is demonstrated in a step-by-step fashion via simulation results. The Unified Approach is …
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This paper uses six waves of the Bank of Italy Survey of Households Income and Wealth to explore the dynamics of asset portfolio ownership. The household asset portfolio decision is a choice among discrete alternatives, and I model the problem in a multinomial framework. I focus on a...
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