2013 IEEE Congress on Evolutionary Computation 2013
DOI: 10.1109/cec.2013.6557813
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Enhanced Fireworks Algorithm

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Cited by 242 publications
(173 citation statements)
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“…In this paper, taking into account the average ranking, p = 0.3 is regarded as the relatively suitable value. To assess the performance of AMdynFWA, AMdynFWA is compared with enhanced fireworks algorithm (EFWA), dynamic search fireworks algorithms (dynFWA), and adaptive fireworks algorithm (AFWA), and the EFWA parameters are set in accordance with [2], the AFWA parameters are set in accordance with [3], and the dynFWA parameters are set in accordance with [4].…”
Section: Study On the Mutation Probability Pmentioning
confidence: 99%
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“…In this paper, taking into account the average ranking, p = 0.3 is regarded as the relatively suitable value. To assess the performance of AMdynFWA, AMdynFWA is compared with enhanced fireworks algorithm (EFWA), dynamic search fireworks algorithms (dynFWA), and adaptive fireworks algorithm (AFWA), and the EFWA parameters are set in accordance with [2], the AFWA parameters are set in accordance with [3], and the dynFWA parameters are set in accordance with [4].…”
Section: Study On the Mutation Probability Pmentioning
confidence: 99%
“…So far, research on the FWA has concentrated on improving the operators. One of the most important improvements of the FWA is the enhanced fireworks algorithm (EFWA) [2], where the operators of the conventional FWA were thoroughly analyzed and revised. Based on the EFWA, an adaptive fireworks algorithm (AFWA) [3] was proposed, which was the first attempt to control the explosion amplitude without preset parameters by detecting the results of the search process.…”
Section: Introductionmentioning
confidence: 99%
“…replaced by g F , and the local search is carried out again according to Formulas (9) and (10). If no improvement is obtained in this case, the worst frog is deleted and a new frog is randomly generated to replace the worst frog w F .…”
Section: Principle Of Shuffled Frog Leaping Algorithmmentioning
confidence: 99%
“…A hybrid fireworks-differential evolution (FWA-DE) algorithm was proposed by introducing the mutation operator, crossover operator and selection operator in the DE algorithm [9]. An enhanced fireworks algorithm (EFWA) was put forward by improving the minimum radius detection, mapping rules and spark selection strategy of the explosion sparks [10]. An adaptive firework algorithm (AFWA) was proposed to carry out the self-tuning for the blast radius [11].…”
Section: Introductionmentioning
confidence: 99%
“…Authors of the original fireworks algorithm continued to work on its improvement. The results are four upgraded versions of the FWA, enhanced FWA [39], corporative framework for FWA [40], FWA with enhanced interaction and the latest update is guided FWA (GFWA) [16]. In [38] they proposed another improvement of the enhanced fireworks algorithm (EFWA) based on an adaptive dynamic local search mechanism.…”
Section: Firework Algorithmmentioning
confidence: 99%