@inbook{3c9f5263d6544e3e8f00129a40418595,
title = "A comment on opt-AiNET: An immune network algorithm for optimisation",
abstract = "Verifying the published results of algorithms is part of the usual research process. This helps to both validate the existing literature, but also quite often allows for new insights and augmentations of current systems in a methodological manner. This is very pertinent in emerging new areas such as Artificial Immune Systems, where it is essential that any algorithm is well understood and investigated. The work presented in this paper results from an investigation into the opt-aiNET algorithm, a well-known immune inspired algorithm for function optimisation. Using the original source code developed for opt-aiNET, this paper identifies two minor errors within the code, propose a slight augmentation of the algorithm to automate the process of peak identification: all of which affect the performance of the algorithm. Results are presented for testing of the existing algorithm and in addition, for a slightly modified version, which takes into account some of the issues discovered during the investigations.",
keywords = "candidate solution, average fitness, artificial immune system, network cell, immune network",
author = "Jon Timmis and Camilla Edmonds",
year = "2004",
doi = "10.1007/978-3-540-24854-5_32",
language = "English",
isbn = "3540223444",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "308--317",
editor = "Kalyanmoy Deb and Riccardo Poli and Owen Holland and Kalyanmoy Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Lanzi, {Pier Luca} and Lee Spector and Tettamanzi, {Andrea G. B.} and Dirk Thierens and Tyrrell, {Andrew M.}",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Switzerland",
}