A Survey of Bio inspired Optimization Algorithms
By Dr. S. Sathya. 2012
547 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/c74acc2ff77534ece948199d9a9d6474acf52164
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- C. Gamarra
- Micha Sende
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- Wilfried Elmenreich
- Woongsoo Na
- Josep M. Guerrero
- Sungrae Cho
- Melanie Schranz
Citations in the corpus
- Swarm Robotic Behaviors and Current Applications (2020, background): “Blum and Li (2008), Binitha and Sathya (2012), and Krause et al. (2013) address swarm intelligence algorithms for optimization.”
- Routing in Flying Ad Hoc Networks: A Comprehensive Survey (2020, background): “According to [160], evolutionary algorithms inspired by natural evolution and swarm-based algorithms motivated by the collective behavior in animal society, are the two most predominant classes of bio-inspired algorithms.”
- Computational optimization techniques applied to microgrids planning: A review (2015, methodology): “population-based methods, but other classifications such as bio-inspired one [21] are often used:”