[图书][B] Immunological computation: theory and applications
D Dasgupta, F Nino - 2008 - taylorfrancis.com
Clearly, nature has been very effective in creating organisms that are capable of protecting
themselves against a wide variety of pathogens such as bacteria, fungi, and parasites. The …
themselves against a wide variety of pathogens such as bacteria, fungi, and parasites. The …
Artificial immune system (AIS) research in the last five years
Immunity-based techniques are gaining popularity in wide area of applications, and
emerging as a new branch of artificial intelligence (AI). The paper surveys the major works in …
emerging as a new branch of artificial intelligence (AI). The paper surveys the major works in …
[PDF][PDF] Artificial immune algorithms for university timetabling
The university timetabling, examination and course, are known to be highly constrained
optimization problems. Metaheuristic approaches, and their hybrids, have successfully been …
optimization problems. Metaheuristic approaches, and their hybrids, have successfully been …
Robot error detection using an artificial immune system
R Canham, AH Jackson, A Tyrrell - NASA/DoD Conference on …, 2003 - ieeexplore.ieee.org
Biology has produced living creatures that exhibit remarkable fault tolerance. The immune
system is one feature that enables this. The acquired immune system learns during the life of …
system is one feature that enables this. The acquired immune system learns during the life of …
Three branches of negative representation of information: A survey
Negative Representation of Information (NRI) is an emerging topic that is primarily inspired
by the self-nonself discrimination paradigm of the biological immune system, and it is mainly …
by the self-nonself discrimination paradigm of the biological immune system, and it is mainly …
[图书][B] Negative Selection Algorithms: from the Thymus to V-detector
Z Ji - 2006 - search.proquest.com
A Dissertation Presented for the Doctor of Philosophy Degree The University of Memphis Zhou
Ji August, 2006 Page 1 NEGATIVE SELECTION ALGORITHMS: FROM THE THYMUS TO …
Ji August, 2006 Page 1 NEGATIVE SELECTION ALGORITHMS: FROM THE THYMUS TO …
Immunity-based autonomous guided vehicles control
HYK Lau, VWK Wong, ISK Lee - Applied Soft Computing, 2007 - Elsevier
The human immune system is a self-organizing and highly distributed multi-agent system.
These properties impart a high degree of robustness and performance that has created …
These properties impart a high degree of robustness and performance that has created …
Artificial immune system for comprehensive and integrated aircraft abnormal conditions management
MG Perhinschi, H Moncayo - Advances in Computational Intelligence …, 2018 - arc.aiaa.org
Failures, malfunctions, and damage affecting aircraft subsystems, as well as general
environmental and dynamic upset conditions, have been consistently identified as the …
environmental and dynamic upset conditions, have been consistently identified as the …
A hardware artificial immune system and embryonic array for fault tolerant systems
RO Canham, AM Tyrrell - Genetic Programming and Evolvable Machines, 2003 - Springer
Nature demonstrates amazing levels of fault tolerance; animals can survive injury, damage,
wear and tear, and are under continual attack from infectious pathogens. This paper details …
wear and tear, and are under continual attack from infectious pathogens. This paper details …
A decentralized multi-robot system for intruder detection in security defense
Y Zhang, Y Meng - 2010 IEEE/RSJ International Conference on …, 2010 - ieeexplore.ieee.org
In security defense tasks, multiple robots need work cooperatively to detect offensive
intrusion to protect some sensitive areas. In this paper, we propose a distributed algorithm …
intrusion to protect some sensitive areas. In this paper, we propose a distributed algorithm …