<![CDATA[Article focused on the implementation of genetic algorithms in scheduling parallel, non-identical machines in a make-to-order environment, with the objective of maximizing profit. Eventually, the model will further be used for an order acceptance model in a garment company. A new chromosome representation has beens developed in order to simplify the crossover and mutation in the algorithm. Performance investigation of the genetic algorithm is provided for the purpose of avoiding local optima and accelerating the algorithm in reaching a good solution.]]>
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