Abstract
Optimization problems arise in many contexts. A modelling language like AMPL makes it easier to experiment with formulations and use the right solvers to address the resultant optimization issues. Variables, objectives, constraints, sets of possible parameters, and notations that resemble well-known mathematical notation can all be stated using AMPL. The AMPL command language enables computation and display of data regarding the specifics of a problem and the solutions provided by solvers. It also enables the modification of problem formulations and the resolution of problem chains. Both continuous and discrete optimization issues are addressed by AMPL. In this paper, AMPL is used to solve different optimization problems such as Wyndor Glass problem, Transportation and Assignment problem and Purchase Planning problem. Keywords: Optimization, AMPL, Wyndor Glass Problem, Transportation and Assignment Problem, Purchase Planning Problem
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