Differential evolution algorithm with ensemble of parameters and mutation strategies
Citations
4,321 citations
1,265 citations
Cites methods from "Differential evolution algorithm wi..."
...We begin with a very competitive method, called DE with Ensemble of Parameters and mutation Strategies (EPSDE) [120] to select the individual-specific strategy from a pool of mutation variants as well as values of F and Cr from sets of discrete candidate values within certain ranges....
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...EPSDE has since then been enhanced by integrating SaDE-based adaptation [150,151]....
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...Recently, [117] proposed a variant of EPSDE where the ensemble of F and Cr values are evolved by using the optimization process of another metaheuristic algorithm called Harmony Search (HS)....
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...EPSDE exhibited highly competitive performance on the IEEE CEC 2005 benchmark suite for real parameter optimization....
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1,207 citations
Cites background or methods from "Differential evolution algorithm wi..."
...CoDE differs from EPSDE [18] in the following major aspects....
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...To the best of our knowledge, EPSDE [18] was the first attempt to provide a systematic framework for combining different trial vector generation strategies with different control parameter settings....
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...[18] very recently proposed an ensemble of trial vector generation strategies and control parameters of DE (EPSDE)....
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..., JADE [12], jDE [16], SaDE [4], and EPSDE [18]....
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1,048 citations
Cites background or methods from "Differential evolution algorithm wi..."
...1 and also outperforms previous DE variants, including JADE [5], CoDE [18], EPSDE [6], SaDE [4], and dynNP-jDE [15]....
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...Since this is a significant problem in practice, adaptive mechanisms for adjusting the control parameters on-line during the search process have been studied by many researchers [3]–[6]....
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...We compared L-SHADE with the state-of-the-art DE algorithms SHADE 1.1 [9], CoDE [18], EPSDE [6], SaDE [4], JADE [5], and dynNP-jDE [15] on the CEC2014 benchmarks....
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...We show experimentally that L-SHADE significantly improves upon the performance of SHADE 1.1 and also outperforms previous DE variants, including JADE [5], CoDE [18], EPSDE [6], SaDE [4], and dynNP-jDE [15]....
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...These were used for the experiments in [18], and are based on code originally received from the original authors of CoDE, EPSDE, SaDE and JADE....
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1,029 citations
Cites background or methods from "Differential evolution algorithm wi..."
...This is due to the use of unconventional concepts (e.g., concepts of age and compact GA) or blending different approaches (e.g., ensembles [Mallipeddi et al. 2011])....
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...… Grefenstette 1993; Ronald 1995; Joan-Arinyo et al. 2011] Hybrid [Ghosh et al. 1996; Harik et al. 1999; Paenke et al. 2009; Qin et al. 2009; Lee et al. 2011; Mallipeddi et al. 2011] Maintenance (Niching) Fitness-based [Holland 1975; Goldberg and Richardson 1987; Smith et al. 1993; Yin and Germay…...
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References
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