Lion algorithm

Lion algorithm (LA) is one among the bio-inspired (or) nature-inspired optimization algorithms (or) that are mainly based on meta-heuristic principles. It was first introduced by B. R. Rajakumar in 2012 in the name, Lion’s Algorithm..[1] It was further extended in 2014 to solve the system identification problem.[2] This version was referred as LA, which has been applied by many researchers for their optimization problems.[3] [4]

  1. ^ Rajakumar BR (2012). "The Lion's Algorithm-A New Nature-Inspired Search Algorithm". Procedia Technology. 6: 126–135. doi:10.1016/j.protcy.2012.10.016.
  2. ^ Rajakumar BR (2014). "Lion Algorithm for Standard and Large-Scale Bilinear SystemIdentification: A Global Optimization based on Lion's Social Behavior". IEEE Congress on Evolutionary Computation (CEC). Beijing: 2116–2123.
  3. ^ Rajakumar Boothalingam (2018). "Optimization using lion algorithm: a biological inspiration from lion's social behaviour". Evolutionary Intelligence. 11 (1–2): 31–52. doi:10.1007/s12065-018-0168-y. S2CID 53019812.
  4. ^ Rajakumar BR (2020). "Lion Algorithm and Its Applications". In Khosravy M, Gupta N, Patel N, Senjyu T (eds.). Frontier Applications of Nature Inspired Computation. Springer Tracts in Nature-Inspired Computing. Singapore. pp. 100–118. doi:10.1007/978-981-15-2133-1_5. ISBN 978-981-15-2132-4. S2CID 215858257.{{cite book}}: CS1 maint: location missing publisher (link)