Open Access
Application areas of AIS: the past, present and future.
Emma Hart,Jon Timmis +1 more
Reads0
Chats0
TLDR
In this paper, the authors take a step back and reflect on the contributions that the Artificial Immune Systems (AIS) has brought to the application areas to which it has been applied, and suggest a set of problem features that they believe will allow the true potential of the immunological system to be exploited in computational systems.Abstract:
After a decade of research into the area of artificial immune systems, it is worthwhile to take a step back and reflect on the contributions that the
paradigm has brought to the application areas to which it has been applied. Undeniably, there have been a lot of successful stories—however, if the
field is to advance in the future and really carve out its own distinctive niche, then it is necessary to be able to illustrate that there are clear benefits to
be obtained by applying this paradigm rather than others. This paper attempts to take stock of the application areas that have been tackled in the
past, and ask the difficult question ‘‘was it worth it ?’’. We then attempt to suggest a set of problem features that we believe will allow the true
potential of the immunological system to be exploited in computational systems, and define a unique niche for AISread more
Citations
More filters
Proceedings Article
Multi-agent coalition formation based on clonal selection
TL;DR: The paper identifies current problems in multi-agent coalition formation and investigates properties and mechanisms of human immune system that can be the inspiration for solving some of these problems.
Journal ArticleDOI
Efficient Multi-Objective Optimization of Frequency Selective Radome with Nonuniform Wall Thickness
Xin Ma,Guobin Wan +1 more
TL;DR: In this article, an ecient optimization technique for frequency selective surface (FSS) radome with nonuniform wall thickness is proposed to improve the power transmission e-ciency and the boresight error (BSE) of FSS radome simultaneously.
Dissertation
Evolutionary algorithms with mixed strategy
TL;DR: This thesis has offered an initial approach to developing a mixed strategy based on the concept of local fitness landscape that possesses an appropriate balance between exploration and exploitation, and has been utilised to deal with the problem of protein folding in bioinformatics.
Proceedings Article
A Review of Artificial Immune Systems
TL;DR: Artificial Immune Systems (AIS) are class of computational intelligent methods developed based on the principles and processes of the biological immune system as mentioned in this paper, which are categorized mainly into four types according to the inspired principles of immune system.
Journal ArticleDOI
A Preliminary Survey on Artificial Immune Systems (AIS): A Review on Their Techniques, Strengths and Drawbacks
Roznim Mohamad Rasli,Nor Azah Abdul Aziz,Fadhlina Mohd Razali,Norita Md Norwawi,Nurlida Basir +4 more
TL;DR: The discussion highlights on the theoretical aspects, techniques, and algorithms of three well-established techniques of AIS, namely the negative selection algorithm, immune network algorithms, and clonal selection algorithms by focusing on their similarities and differences.
References
More filters
Journal ArticleDOI
No free lunch theorems for optimization
TL;DR: A framework is developed to explore the connection between effective optimization algorithms and the problems they are solving and a number of "no free lunch" (NFL) theorems are presented which establish that for any algorithm, any elevated performance over one class of problems is offset by performance over another class.
Williamson, estimating the support of a high-dimensional distribution
TL;DR: The algorithm is a natural extension of the support vector algorithm to the case of unlabeled data by carrying out sequential optimization over pairs of input patterns and providing a theoretical analysis of the statistical performance of the algorithm.
Journal ArticleDOI
Evolutionary programming made faster
Xin Yao,Yong Liu,Guangming Lin +2 more
TL;DR: A "fast EP" (FEP) is proposed which uses a Cauchy instead of Gaussian mutation as the primary search operator and is proposed and tested empirically, showing that IFEP performs better than or as well as the better of FEP and CEP for most benchmark problems tested.
Journal ArticleDOI
OR-Library: Distributing Test Problems by Electronic Mail
TL;DR: A system (OR-Library) that distributes test problems by electronic mail (e-mail) that has available test problems drawn from a number of different areas of operational research.
Proceedings ArticleDOI
Self-nonself discrimination in a computer
TL;DR: A method for change detection which is based on the generation of T cells in the immune system is described, which reveals computational costs of the system and preliminary experiments illustrate how the method might be applied to the problem of computer viruses.