A survey for recent applications and variants of nature-inspired immune search algorithm

No Thumbnail Available
Issue Date
2020-10-07
Authors
Abou Doush, Iyad
Alkhateeb, Faisal
Al-Khatib, Ra'ed
Keywords
Type
Journal Article
Peer-Reviewed
Abstract
Artificial Immune Systems (AIS) is a well-known nature inspired and population based algorithm that proved its effectiveness for solving engineering and practical real-world problems. AIS can adapt to learning, has many models for different immune systems, which can be used to tackle different kinds of optimisation problems, and it can also be hybridised with other algorithms. In this paper, we extensively summarise the recent researches of AIS and categorise them based on the application problem to understand the current trend of the usage of this algorithm. In addition, we provide the up to date open research problems that are not solved by immune search algorithm, and they were solved recently by other algorithms. This can help in paving the road for future research directions in the AIS field.
Citation
Faisal Alkhateeb, Ra'ed M. Al-Khatib , and Iyad Abu Doush (2020). Applications and variants of nature-inspired immune search algorithm: a survey. International Journal of Computer Applications in Technology 63 (4), 354-370. https://www.inderscience.com/info/inarticle.php?artid=110417