DENSA: An effective negative selection algorithm with flexible boundaries for self-space and dynamic number of detectors
The negative selection algorithm is an anomaly detection technique inspired by the self-
nonself discrimination behavior observed in the Biological Immune System. The most …
nonself discrimination behavior observed in the Biological Immune System. The most …
Clonal selection: an immunological algorithm for global optimization over continuous spaces
In this research paper we present an immunological algorithm (IA) to solve global numerical
optimization problems for high-dimensional instances. Such optimization problems are a …
optimization problems for high-dimensional instances. Such optimization problems are a …
Analysing the robustness of evolutionary algorithms to noise: refined runtime bounds and an example where noise is beneficial
D Sudholt - Algorithmica, 2021 - Springer
We analyse the performance of well-known evolutionary algorithms, the (1+ 1)(1+ 1) EA and
the (1+ λ)(1+ λ) EA, in the prior noise model, where in each fitness evaluation the search …
the (1+ λ)(1+ λ) EA, in the prior noise model, where in each fitness evaluation the search …
Protein multiple sequence alignment by hybrid bio-inspired algorithms
This article presents an immune inspired algorithm to tackle the Multiple Sequence
Alignment (MSA) problem. MSA is one of the most important tasks in biological sequence …
Alignment (MSA) problem. MSA is one of the most important tasks in biological sequence …
An immune metaheuristics for large instances of the weighted feedback vertex set problem
An immune metaheuristic has been developed for solving the Weighted Feedback Vertex
Set problem, known to be a NP-complete problem, which finds applicability in many real …
Set problem, known to be a NP-complete problem, which finds applicability in many real …
On the runtime analysis of stochastic ageing mechanisms
PS Oliveto, D Sudholt - Proceedings of the 2014 Annual Conference on …, 2014 - dl.acm.org
Ageing operators are applied in the field of artificial immune systems (AIS) to increase the
diversity of the population during the optimization process. Previous theoretical analyses …
diversity of the population during the optimization process. Previous theoretical analyses …
How long should offspring lifespan be in order to obtain a proper exploration?
A Di Stefano, A Vitale, V Cutello… - 2016 IEEE Symposium …, 2016 - ieeexplore.ieee.org
The time an offspring should live and remain into the population in order to evolve and
mature is a crucial factor of the performance of population-based algorithms both in the …
mature is a crucial factor of the performance of population-based algorithms both in the …
Comparison study for clonal selection algorithm and genetic algorithm
ED Ulker, S Ulker - arXiv preprint arXiv:1209.2717, 2012 - arxiv.org
Two metaheuristic algorithms namely Artificial Immune Systems (AIS) and Genetic
Algorithms are classified as computational systems inspired by theoretical immunology and …
Algorithms are classified as computational systems inspired by theoretical immunology and …
Foundations of immunocomputing
A Tarakanov, G Nicosia - 2007 IEEE Symposium on …, 2007 - ieeexplore.ieee.org
This paper presents the mathematical basis of the immunocomputing using feature
extraction and pattern recognition. The key notions of the approach are the formal immune …
extraction and pattern recognition. The key notions of the approach are the formal immune …
Random search immune algorithm for community detection
Community detection is a prominent research topic in Complex Network Analysis, and it
constitutes an important research field on all those areas where complex networks represent …
constitutes an important research field on all those areas where complex networks represent …