Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
An introduction to genetic algorithms
An introduction to genetic algorithms
Finite Markov chain results in evolutionary computation: a tour d'horizon
Fundamenta Informaticae
Statistical mechanics theory of genetic algorithms
Theoretical aspects of evolutionary computing
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Artficial Immune Systems and Their Applications
Artficial Immune Systems and Their Applications
Dimensional Analysis of Allele-Wise Mixing Revisited
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Analysis of Selection, Mutation and Recombination in Genetic Algorithms
Evolution and Biocomputation, Computational Models of Evolution
Genetic algorithms as function optimizers
Genetic algorithms as function optimizers
Toward a theory of evolution strategies: On the benefits of sex---the (μ/μ, λ) theory
Evolutionary Computation
A Markov chain model of the b-cell algorithm
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
On some properties of binary chromosomes and states of artificial immune systems
International Journal of Data Analysis Techniques and Strategies
On some properties of binary chromosomes and states of artificial immune systems
International Journal of Data Analysis Techniques and Strategies
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This study considers an alternative to zero-one encoding representation of binary chromosomes. In a proposed so-called Hadamard representation the square of each coordinate equals 1. This fact allows the formulation of rules for phenotypes and the development of automated methods of moving frame An, as well as the determination of the distance between the elements of this space. Several properties of such a defned representation were noted and properties of the immune system were expressed based on this representation.