2015
DOI: 10.1007/s40313-015-0213-3
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Modified Shuffled Frog Leaping Algorithm for Improved Pareto-Set Computation: Application to Product Transport in Pipeline Networks

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Cited by 3 publications
(1 citation statement)
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“…Like the other MOEAs, the Pareto-based multi-objective shuffled frog leaping algorithm (MOSFLA) has been widely applied to solve multi-objective optimization problems in many fields, such as reservoir flood control (Li et al, 2010), mobile robot path planning (Hidalgo-Paniagua et al, 2015) and product transport (Lamboia et al, 2016). MOSFLA was developed based on SFLA which is one of the population-based EAs inspired by natural memetics with only a couple of parameters, fast calculation speed and excellent global search capability (Eusuff et al, 2006).…”
Section: Introductionmentioning
confidence: 99%
“…Like the other MOEAs, the Pareto-based multi-objective shuffled frog leaping algorithm (MOSFLA) has been widely applied to solve multi-objective optimization problems in many fields, such as reservoir flood control (Li et al, 2010), mobile robot path planning (Hidalgo-Paniagua et al, 2015) and product transport (Lamboia et al, 2016). MOSFLA was developed based on SFLA which is one of the population-based EAs inspired by natural memetics with only a couple of parameters, fast calculation speed and excellent global search capability (Eusuff et al, 2006).…”
Section: Introductionmentioning
confidence: 99%