Flow Shop Scheduling Using a General Approach for Differential Evolution

Guimarães, Frederico Gadelha; Silva, Rodrigo C. P.; Prado, Ricardo S.; Neto, Oriane M.; Davendra, Donald

doi:10.1007/978-3-642-30504-7_24

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…Fig. 3(c) illustrates the second individual generated with the triple (11,12,13) when PAO is applied again to the individual I 0 . Its corresponding NDE highlighting in bold-red text the pruned node and its new depth and the updated ancestor tree are also shown in the figure.…”

Section: The Ancestor Tree -Illustrative Examplementioning

confidence: 99%

“…Following the initial development and success of DE for numerical optimization, some researchers have investigated its performance in combinatorial optimization problems [22,23,8,32,11]. In continuous problems, the differential mutation is easily implemented with the subtraction between vectors operation.…”

Section: The Discrete Differential Evolutionmentioning

confidence: 99%

“…The approach is based on a discrete version of the differential evolution (DE) algorithm, initially presented in Prado et al [22,23] and Guimarães et al [11] for permutation-based combinatorial optimization problems. We extend the ideas and general framework presented in Prado et al [22,23], by using the NDE presented in Santos et al [26] and a new ancestor tree presented here to implement DE for service restoration problems.…”

Section: Introductionmentioning

confidence: 99%

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