Optimization Approaches for a Complex Dairy Farm Simulation Model.pdf
Taken from Introduction: This paper presents the optimization of a complex dairy farm simulation model using the two optimization techniques Genetic algorithm (GA) and the Lipschitz Branch-and-Bound (LBB) algorithm. Optimization problems arise in many real-life applications and are intensively studied in different areas. Producing an optimized model of real-world problems is complex and time consuming. As commercial enterprises and systems managers make every effort to become more competitive, numerical optimization techniques are increasingly being used to identify the best solution for modeled systems. Further, computer simulation and optimization can facilitate the production of the best solution without the need to physically test massive numbers of various alternatives. Due to these reasons, optimization techniques are attracting the interests of entrepreneurs as well as researchers. Generally, optimization studies involve: (i) a model of the system of interest, (ii) an objective function, (iii) input parameters, and (iv) an algorithm for the process.
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