6533b86dfe1ef96bd12cab0b
RESEARCH PRODUCT
Improving Performance of Evolutionary Algorithms with Application to Fuzzy Control of Truck Backer-Upper System
Yousef AlipouriAhad Soltani SarvestaniS. Vahid NaghaviSaeed AhmadizadehHamid Reza Karimisubject
Mathematical optimizationEngineeringSequenceArticle Subjectbusiness.industryGeneral Mathematicslcsh:MathematicsLévy distributionGeneral EngineeringEvolutionary algorithmfuzzy controlFuzzy control systemFunction (mathematics)lcsh:QA1-939shifting strategyVDP::Mathematics and natural science: 400::Mathematics: 410Set (abstract data type)lcsh:TA1-2040improving performanceBenchmark (computing)Point (geometry)trucksevolutionary algorithmsbusinesslcsh:Engineering (General). Civil engineering (General)description
Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2013/709027 Open access We propose a method to improve the performance of evolutionary algorithms (EA). The proposed approach defines operators which can modify the performance of EA, including Levy distribution function as a strategy parameters adaptation, calculating mean point for finding proper region of breeding offspring, and shifting strategy parameters to change the sequence of these parameters. Thereafter, a set of benchmark cost functions is utilized to compare the results of the proposed method with some other well-known algorithms. It is shown that the speed and accuracy of EA are increased accordingly. Finally, this method is exploited to optimize fuzzy control of truck backer-upper system.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-01-01 | Mathematical Problems in Engineering |