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
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Optimization Problems ◽  
Artificial Immune ◽  
Complex Optimization

scholarly journals Artificial Immune System for Solving Global Optimization Problems

2010 ◽  
Vol 14 (46) ◽  
Author(s):  
Victoria Soledad Aragón ◽  
Susana C. Esquivel ◽  
Carlos A. Coello
Keyword(s):  
Global Optimization ◽  
Immune System ◽  
Artificial Immune System ◽  
Optimization Problems ◽  
Artificial Immune

scholarly journals An Evaluation of a Metaheuristic Artificial Immune System for Household Energy Optimization

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Maria Navarro-Caceres ◽  
Pramod Herath ◽  
Gabriel Villarrubia ◽  
Francisco Prieto-Castrillo ◽  
G. Kumar Venyagamoorthy
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Optimization Problems ◽  
Artificial Immune Systems ◽  
Energy Optimization ◽  
Management Problem ◽  
Artificial Immune ◽  
Household Energy ◽  
Save Energy ◽  
Bioinspired Algorithms

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.

Artificial Immune System Based Isomorphism Identification Method for Mechanism Kinematics Chains

2002 ◽  
Author(s):  
Renbin Xiao ◽  
Lei Wang ◽  
Zheng Fan
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Optimization Problems ◽  
Mechanical Design ◽  
Artificial Immune ◽  
Kinematic Chains ◽  
Combinatorial Optimization Problems ◽  
Identification Method ◽  
Long Time ◽  
Isomorphism Identification

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.

Sign in / Sign up

Export Citation Format

Share Document