Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators
By Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis. IEEE Transactions on Evolutionary Computation, 2011
310 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/8b66e441b7392a140ca31af7bd43d71c7fccd149
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In Artificial Intelligence
- Swagatam Das
- Ponnuthurai Nagaratnam Suganthan
- Pinar Çivicioglu
- Sankha Subhra Mullick
- Zhihua Cai
- Wenyin Gong
- Jing J. Liang
- Lian Lian Jiang
In Computational Theory and Mathematics
- Pinar Çivicioglu
- Swagatam Das
- Ponnuthurai Nagaratnam Suganthan
- Sankha Subhra Mullick
- Zhihua Cai
- Wenyin Gong
- Jing J. Liang
- Lian Lian Jiang
Citations in the corpus
- Transforming geocentric cartesian coordinates to geodetic coordinates by using differential search algorithm (2012, methodology): “As new and more complex numerical optimization problems to solve arise due to the rapid development of technology, we still need development of new optimization algorithms (Caponio et al., 2007, 2009; Das et al., 2005, 2009; Epitropakis et al., 2011; Fan and Lampinen, 2003a,2003b; Mininno et al., 20”
- A self-adaptive artificial bee colony algorithm based on global best for global optimization (2017, methodology): “The variation equations were inspired by DE/rand/1 and DE/current-to-rand/1 (Epitropakis et al. 2011).”
- Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm (2013, methodology): “[28], are also widely used in DE algorithms.”
- Differential Evolution With Ranking-Based Mutation Operators (2013, methodology): “In Section II-B, we mentioned that there are other new mutation operators, which are based on different vector selection techniques, such as DERL [24], Pro-DE [26], and role-differentiation-based DE (referred to as RDDE in this paper) [27].”
- Recent advances in differential evolution - An updated survey (2016, background): “[56] proposed a proximity induced mutation scheme for DE, where neighbors of a parent vector, rather than the random ones will be used to generate the donor vector.”
- Differential Evolution With Neighborhood Mutation for Multimodal Optimization (2012, methodology): “[54] proposed a proximity-based mutation operator which selects the vectors to perform mutation operation using a distance related probability.”