IA-AIS: An improved adaptive artificial immune system applied to complex optimization problems

2011 ◽  
Vol 11 (8) ◽  
pp. 4692-4700 ◽  
Author(s):  
Zhonghua Li ◽  
Yunong Zhang ◽  
Hong-Zhou Tan
2010 ◽  
Vol 14 (46) ◽  
Author(s):  
Victoria Soledad Aragón ◽  
Susana C. Esquivel ◽  
Carlos A. Coello

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Maria Navarro-Caceres ◽  
Pramod Herath ◽  
Gabriel Villarrubia ◽  
Francisco Prieto-Castrillo ◽  
G. Kumar Venyagamoorthy

Devices in a smart home should be connected in an optimal way; this helps save energy and money. Among numerous optimization models that can be found in the literature, we would like to highlight artificial immune systems, which use special bioinspired algorithms to solve optimization problems effectively. The aim of this work is to present the application of an artificial immune system in the context of different energy optimization problems. Likewise, a case study is performed in which an artificial immune system is incorporated in order to solve an energy management problem in a domestic environment. A thorough analysis of the different strategies is carried out to demonstrate the ability of an artificial immune system to find a successful optima which satisfies the problem constraints.


Author(s):  
Renbin Xiao ◽  
Lei Wang ◽  
Zheng Fan

An Artificial Immune System (AIS in short) based Isomorphism Identification method for Mechanism Kinematic Chains (IMKC) is proposed in this paper. The problem of IMKC has puzzled the scholars in the field of mechanical design for a long time, however, most researchers have omitted one important fact that this problem can be viewed as a Traveling Salesman Problem (TSP) and solved with relevant approaches. AIS is a newly developed bionic paradigm of information processing and problem solving, with powerful ability in recognition, memory and feature extraction. Temporally, AIS has been employed in solving many combinatorial optimization problems like TSP. In view of the existing problems of IMKC, we introduce the definition of Structural Code and convert the problem of computation on IMKC to a similar TSP. Then an AIS based algorithm is utilized to solve the problem and the result shows AIS is a powerful tool in solving IMKC problem and the numerical experiment shows that the AIS based method is better than the one used GA and both of the two methods are highly efficient in solving IMKC problems.


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