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An Information-Theoretic Approach for Clonal Selection Algorithms
[chapter]
2010
Lecture Notes in Computer Science
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selection algorithm, called i-CSA. ...
Experimental results also indicate that the algorithm is comparable, and often outperforms, the compared nature-inspired approaches. ...
An Optimization Clonal Selection Algorithm Clonal Selection Algorithm (CSA) is a class of AIS [1] [2] [3] [4] inspired by the clonal selection theory, which has been successfully applied in computational ...
doi:10.1007/978-3-642-14547-6_12
fatcat:t6u77zyfljgtpjfe4rmu2epaaq
Ontological model of multi-agent Smart-system for predicting drug properties based on modified algorithms of artificial immune systems
2020
Theoretical Biology and Medical Modelling
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As a promising approach for processing a large amount of chemical information, extracting informative descriptors and for the creation of an optimal data set, as well as further predicting the properties ...
The aim of this work is to develop a multi-agent Smart-system for predicting the "structure-property" dependence of drug compounds using the ontological approach and modified algorithms of artificial immune ...
the information system for predicting the structure-property dependence of medicinal compounds based on artificial intelligence algorithms". ...
doi:10.1186/s12976-020-00130-x
pmid:32669115
fatcat:5ovjt64yurfebhheygme7chu6q
Theoretical advances in artificial immune systems
2008
Theoretical Computer Science
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Biological models of the natural immune system, in particular the theories of clonal selection, immune networks and negative selection, have provided the inspiration for AIS algorithms. ...
After the presentation of a simple example of each of the three main types of AIS algorithm (that is, clonal selection, immune network and negative selection algorithms respectively), details of the theoretical ...
For clonal selection-type algorithms, the comparison with genetic algorithms and other evolutionary computational approaches cannot be ignored. ...
doi:10.1016/j.tcs.2008.02.011
fatcat:lmoecxgf7rbvzgu3nccp7tf2su
A Preliminary Survey on Artificial Immune Systems (AIS): A Review on Their Techniques, Strengths and Drawbacks
2019
International Journal of Academic Research in Business and Social Sciences
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, and clonal selection algorithms by focusing on their similarities and differences. ...
Particularly, 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 ...
Acknowledgement The authors would like to thank Sultan Idris Education University, Tanjung Malim, Perak, Malaysia for awarding the first author with the SLAB/SLAI Scholarship that partly funded this research ...
doi:10.6007/ijarbss/v9-i14/6835
fatcat:lpgmjr3wx5e37id3nhcu3nlrh4
Application of Global Optimization Methods for Feature Selection and Machine Learning
2013
Mathematical Problems in Engineering
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This paper proposed a novel immune clonal genetic algorithm based on immune clonal algorithm designed to solve the feature selection problem. ...
The proposed algorithm has more exploration and exploitation abilities due to the clonal selection theory, and each antibody in the search space specifies a subset of the possible features. ...
IWC2012007) and the Special Fund for Basic Scientific Research of Central Colleges, South-Central University for Nationalities (Grant no. CZY11005). ...
doi:10.1155/2013/241517
fatcat:2u7h5qnmqrbzjdkp6ewgmewfne
Artificial Immune Systems (2010)
[article]
2010
arXiv
pre-print
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Two case studies are also presented to help provide insight into the mechanisms of AIS; these are the idiotypic network approach and the Dendritic Cell Algorithm. ...
The human immune system has numerous properties that make it ripe for exploitation in the computational domain, such as robustness and fault tolerance, and many different algorithms, collectively termed ...
The authors would like to thank Jon Timmis for his feedback and assistance. ...
arXiv:1006.4949v1
fatcat:tnbsgv7s3zhohcojbroxtyolhq
Advancement in the twentieth century in artificial immune systems for optimization: Review and future outlook
2009
2009 IEEE International Conference on Systems, Man and Cybernetics
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Exploration and adoption of the inspired immune theories in clonal selection, immune network, negative selection, and danger signaling is becoming a popular basis for algorithm design for solving optimization ...
An analysis of the AIS applications is also discussed. ...
Evolutionary multi-objective
immune algorithm (EMOIA)
Clonal Selection, Immune Memory,
Information-theoretic based density
preservation mechanism, Entropy-
based density assessment (EDAS)
-
2008 ...
doi:10.1109/icsmc.2009.5346835
dblp:conf/smc/WongL09
fatcat:eu2xpvl2tjgc5b376cqa3hzega
Pattern Recognition Approaches inspired by Artificial Immune System
2012
International Journal of Computer Applications
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Inspired by the biological immune system, it aims to provide solutions for problems in a vast range of domains using novel computational tools. ...
Clonal Selection
The Biology The Clonal Selection Principle is the fundamental features of an immune response to an antigenic stimulus. ...
The Algorithm Clonal Selection algorithms are a class of algorithms inspired by the clonal selection theory of acquired immunity. ...
doi:10.5120/6378-8820
fatcat:ncy3aih2r5eo3dnkmeme3oygqq
On clonal selection
2011
Theoretical Computer Science
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We examine existing clonal selection algorithms for learning from a theoretical and empirical perspective and assert that the widely accepted computational interpretation of clonal selection is compromised ...
Clonal selection has been a dominant theme in many immune-inspired algorithms applied to machine learning and optimisation. ...
Acknowledgements We are grateful to Thomas Stibor and Dev Rajnarayan for helpful discussions that influenced this material. ...
doi:10.1016/j.tcs.2010.11.017
fatcat:a67vxb6ktveytel7an5shgiyrm
Algorithmic approaches to clonal reconstruction in heterogeneous cell populations
2019
Quantitative Biology
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The clonal theory of evolution provides a theoretical framework for modeling the evolution of clones. ...
We note that most of the available clonal inference algorithms were developed for elucidating tumor evolution whereas clonal reconstruction for unicellular genomes are less addressed. ...
Megan Behringer and Michael Lynch for very inspiring discussions. ...
doi:10.1007/s40484-019-0188-3
pmid:32431959
pmcid:PMC7236794
fatcat:rcigo5p6evbylh2s2jh4xshpcu
A Particle Swarm and Clonal Selection Algorithm based Channel Assignment Algorithm in MRMC Wireless Mesh Network
2019
International journal of recent technology and engineering
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Motivated by these two optimization methodologies, in this paper, a hybridized particle swarm aided clonal selection approach is introduced for resolving channel assignment issue, i.e., evaluating a lower-interference ...
Conflict Vector in Conflict Graph known as antigens in clonal selection algorithm having fewer affinity values are improved using the particle swarm optimization update operation. ...
In addition to this, the proposed hybrid approach is compared with the existing traditional Clonal Selection Algorithm for channel assignment in WMN. ...
doi:10.35940/ijrte.b3403.078219
fatcat:wc4igbpebzfh3hnbodoo2a5aoa
An Improved Clonal Selection Algorithm Based Optimization Method for Iterative Learning Control Systems
2008
IFAC Proceedings Volumes
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In this paper an improved Clonal Selection Algorithm (CSA) is proposed as a method to implement optimality based Iterative Learning Control algorithms. ...
In addiction, because more priori information was used to decrease the size of the search space, the probability of the clonal selection algorithm converging rapidly to a global optimum was increased considerably ...
In section 3, the clonal selection algorithm based optimization method for iterative learning control is presented in detail. Section 4 illustrates the theoretical findings using simulations. ...
doi:10.3182/20080706-5-kr-1001.00592
fatcat:zvju4arvs5a2najgdxx7ya2ccq
Natural Inspired Intelligent Visual Computing and Its Application to Viticulture
2017
Sensors
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The AIS algorithms in (2) were developed based on a nature-inspired clonal selection algorithm (CSA) which is able to detect the arcs in the berry images with precision, based on a fitness model. ...
This paper presents an investigation of natural inspired intelligent computing and its corresponding application towards visual information processing systems for viticulture. ...
Acknowledgments: The authors would like to thank the anonymous reviewers for their helpful and constructive comments that greatly contributed to improving the final version of the paper. ...
doi:10.3390/s17061186
pmid:28545224
pmcid:PMC5498829
fatcat:4jwkweqvirh6vcenexen7ogal4
Clonal selection based fuzzy C-means algorithm for clustering
2014
Proceedings of the 2014 conference on Genetic and evolutionary computation - GECCO '14
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In order to address this issue a clonal selection based fuzzy c-means algorithm (CSFCM) is introduced. ...
In recent years, fuzzy based clustering approaches have shown to outperform state-of-the-art hard clustering algorithms in terms of accuracy. ...
PROPOSED APPROACH This section gives an introduction of the fuzzy c-means algorithm first followed by a discussion of the clonal selection approach. ...
doi:10.1145/2576768.2598270
dblp:conf/gecco/Ludwig14
fatcat:6ufic5zvlvexvkbqme3qiw5dda
A Clonal Selection Algorithm Based Tabu Search for Satisfiability Problems
2012
Journal of Advances in Information Technology
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The underlying idea is to harness the optimization capabilities of clonal selection algorithm to achieve good quality solutions for Max SAT problem. ...
The proposed approach is based on clonal selection principles and local search method. ...
Selection strategies that we can use in clonal selection algorithms are the same as those applied in the evolutionary algorithms. In our approach, we have used the roulette wheel selection. ...
doi:10.4304/jait.3.2.138-146
fatcat:k7dk33lonnhkbptxsxynasvske
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