文章基本信息

标题：Customizing NSGAII to Optimize Business Processes Designs
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作者：Farsani ShirinTorabi ; Majid Aboutalebi ; Homaun Motameni 等
期刊名称：Research Journal of Recent Sciences
电子版ISSN：2277-2502
出版年度：2013
卷号：2
期号：12
页码：74-79
语种：English
出版社：International Science Community Association
摘要：Nowadays, business processes of firms and organizations have encountered many complications. On the other hand, business owners tend to maintain competitive market and increase profitability of their businesses. Therefore, they put the efforts to improve their business processes in the form of decreased costs and increased quality of product and customer satisfaction. Thus, business owners try to consider the optimization of business processes using suitable methods for a continuous and structured improvement of business processes. There are many methods most of which based on complicated mathematical relationships; evolutionary algorithms have become more popular. Hence, the present study attempts to optimize the process using an evolutionary method based on non-dominated sorting genetic evolutionary algorithms. However, the objective here is to customize the algorithm properly in order to achieve efficient and reasonable results.
关键词：Business processes;optimization;evolutionary algorithms;evolutionary operators;evolutionary optimization;non-dominated sorting genetic algorithm;qualitative parameters;quantitative parameters