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

Authors: Faisal Alkhateeb; Ra'ed M. Al-Khatib; Iyad Abu Doush

Addresses: Computer Science Department, Yarmouk University, Irbid, Jordan ' Computer Science Department, Yarmouk University, Irbid, Jordan ' Computer Science Department, Yarmouk University, Irbid, Jordan; Computing Department, American University of Kuwait, Salmiya, Kuwait

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.

Keywords: artificial intelligence; immune algorithm; nature-inspired metaheuristics; optimisations; applications; variants of immune algorithm.

DOI: 10.1504/IJCAT.2020.110417

International Journal of Computer Applications in Technology, 2020 Vol.63 No.4, pp.354 - 370

Received: 14 Oct 2019
Accepted: 30 May 2020
Published online: 19 Oct 2020 *

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