2017
DOI: 10.4018/ijoci.2017040103
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An Evolutionary Algorithm Based Approach for Business Process Multi-Criteria Optimization

Abstract: Business processes design optimization is known as the problem of creating feasible business processes while optimizing their criteria such as resource cost and execution time. In this paper, the authors propose an evolutionary multi-criteria approach based on a modified evolutionary algorithm for generating optimized business processes. The main contribution of this work is a framework capable of (i) generating business processes using an enhanced version of evolutionary algorithm NSGAII, (ii) verifying the f… Show more

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Cited by 6 publications
(3 citation statements)
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References 26 publications
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“…It turns out that a larger library (with more resources) could improve the obtained solutions (at least quantitatively). It appears to the authors that the selection operator as much as the crossover operator (see [20]) has a moderate effect on the generated solutions quality.…”
Section: Experimentation and Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…It turns out that a larger library (with more resources) could improve the obtained solutions (at least quantitatively). It appears to the authors that the selection operator as much as the crossover operator (see [20]) has a moderate effect on the generated solutions quality.…”
Section: Experimentation and Resultsmentioning
confidence: 99%
“…Zhong et al [19] present an interesting study on the reduction of solutions diversity following a MOO (02 criteria) using NSGAII with truncation selection. Mahammed et al [20] propose an evolutionary multi-criteria approach based on a modified EA for generating optimized business processes. They replace the binary tournament selection with uniform selection, roulette wheel selection and ranking selection, combining the whole with a proposed crossover operator.…”
Section: Related Workmentioning
confidence: 99%
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