| Title | Bio-Inspired Firefly Algorithm A Methodical Survey – Swarm Intelligence Algorithm |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Kalpana, C., Booba, B. |
| Conference Name | 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA) |
| Date Published | nov |
| Keywords | composability, compositionality, Computation Intelligence, Computational Intelligence, firefly algorithm, metaheuristic, Optimization, particle swarm optimization, pubcrawl, swarm intelligence |
| Abstract | In the Swarm Intelligence domain, the firefly algorithm(s) is the most significant algorithm applied in most all optimization areas. FA and variants are easily understood and implemented. FA is capable of solving different domain problems. For solving diverse range of engineering problems requires modified FA or Hybrid FA algorithms, but it is possible additional scope of improvement. In recent times swarm intelligence based intelligent optimization algorithms have been used for Research purposes. FA is one of most important intelligence Swarm algorithm that can be applied for the problems of Global optimization. FA algorithm is capable of achieving best results for complicated issues. In this research study we have discussed and different characteristics of FA and presented brief Review of FA. Along with other metahauristic algorithm we have discussed FA algorithm's different variant like multi objective, and hybrid. The applications of firefly algorithm are bestowed. The aim of the paper is to give future direction for research in FA. |
| DOI | 10.1109/ICCICA52458.2021.9697171 |
| Citation Key | kalpana_bio-inspired_2021 |
Bio-Inspired Firefly Algorithm A Methodical Survey – Swarm Intelligence Algorithm