Theoretical advances in artificial immune systems

DOI10.1016/j.tcs.2008.02.011zbMath1155.68087OpenAlexW2012017253WikidataQ60473801 ScholiaQ60473801MaRDI QIDQ2518373

Yanyan Li

Publication date: 15 January 2009

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2008.02.011

zbMATH Keywords

Markov chainsimmune networksclonal selectionartificial immune systemsnegative selection\(k\)-CNF satisfiability

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.) (68Q10)

Related Items (13)

On easiest functions for mutation operators in bio-inspired optimisation ⋮ Multi-type Galton-Watson processes with affinity-dependent selection applied to antibody affinity maturation ⋮ The receptor density algorithm ⋮ Credit risk prediction using fuzzy immune learning ⋮ On clonal selection ⋮ Negative selection algorithms on strings with efficient training and linear-time classification ⋮ Immune Systems and Computation: An Interdisciplinary Adventure ⋮ Tracking Extrema in Dynamic Environments Using a Learning Automata-Based Immune Algorithm ⋮ Quasispecies dynamics on a network of interacting genotypes and idiotypes: formulation of the model ⋮ A survey on optimization metaheuristics ⋮ Dynamic detection for computer virus based on immune system ⋮ Clonal selection algorithms for optimal product line design: a comparative study ⋮ On the effectiveness of immune inspired mutation operators in some discrete optimization problems

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