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Solving a Business Process Optimization Issue With a Genetic Algorithm Coupled With Multi-Criteria Decision Analysis Method

机译:用一种与多标准决策分析方法耦合的遗传算法解决业务流程优化问题

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摘要

The addressed issue in the present work revolves around the area of business process management in general and in particular optimization. The problem involves the generation of optimized business process designs from a business process model in a multi-criteria optimization environment by appealing an evolutionary algorithm. Thus, the main contribution is to analyze the characteristics of using a multi-criteria decision-analysis method within a genetic algorithm in an issue of business process optimization. The experimental results clearly demonstrated that using a multi-criteria decision-analysis method helps considerably the production of qualitatively interesting alternative solutions in a reasonable period time regard-ing the problem complexity, which ultimately assists the decision maker to perform improved decision making.
机译:本工作中的陈述问题围绕着商业流程管理领域一般,特别是优化。 问题涉及通过吸引进化算法,在多标准优化环境中从业务流程模型中产生优化的业务流程设计。 因此,主要贡献是在业务流程优化问题中分析在遗传算法中使用多标准决策方法的特征。 实验结果清楚地证明,使用多标准决策方法有助于在合理的时段时间内得到定性有趣的替代解决方案,这在解决问题复杂性方面,这最终有助于决策者进行改进的决策。

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