Foundations of Immunocomputing

Tarakanov, Alexander O.; Nicosia, Giuseppe

doi:10.1109/foci.2007.371519

Cited by 12 publications

(3 citation statements)

References 16 publications

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“…We designed a novel multi-objective optimization algorithm called OptIA-II. Our OptIA-II is a clonal selection algorithm [26,34]. There are three immunological theories: immune networks, negative selection, and clonal selection.…”

Section: Multi-objective Immunological Algorithm (Optia-ii)mentioning

confidence: 99%

Design and characterization of effective solar cells

et al. 2021

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We propose a two-stage multi-objective optimization framework for full scheme solar cell structure design and characterization, cost minimization and quantum efficiency maximization. We evaluated structures of 15 different cell designs simulated by varying material types and photodiode doping strategies. At first, non-dominated sorting genetic algorithm II (NSGA-II) produced Pareto-optimal-solutions sets for respective cell designs. Then, on investigating quantum efficiencies of all cell designs produced by NSGA-II, we applied a new multi-objective optimization algorithm II (OptIA-II) to discover the Pareto fronts of select (three) best cell designs. Our designed OptIA-II algorithm improved the quantum efficiencies of all select cell designs and reduced their fabrication costs. We observed that the cell design comprising an optimally doped zinc-oxide-based transparent conductive oxide (TCO) layer and rough silver back reflector (BR) offered a quantum efficiency ($$Q_e$$ Q e ) of 0.6031. Overall, this paper provides a full characterization of cell structure designs. It derives relationship between quantum efficiency, $$Q_e$$ Q e of a cell with its TCO layer’s doping methods and TCO and BR layer’s material types. Our solar cells design characterization enables us to perform a cost-benefit analysis of solar cells usage in real-world applications.

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Section: Multi-objective Immunological Algorithm (Optia-ii)mentioning

confidence: 99%

Design and characterization of effective solar cells

et al. 2021

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“…The presented IC approach of computational intelligence [15] is based essentially on the mathematical models of information processing by proteins and immune networks [3]. It is worth highlighting that the models have already appeared to be useful also in such fields as biomolecular computing [9], [25] and brain research [10], [11], [12].…”

Section: Resultsmentioning

confidence: 99%

“…Recent advances in AIS [5] include a stochastic model of immune response [6], an aircraft fault detection [7], and intrusion detection [8]. Recent advances in IC include the mathematical models for biomolecular immunocomputer [9], brain research [10], [11], [12], reconstruction of hydrophysical fields [13], signal processing [14], [15], and intrusion detection [16], [17].…”

Section: Introductionmentioning

confidence: 99%

Mathematical Models of Intrusion Detection by an Intelligent Immunochip

Tarakanov

Communications in Computer and Information Science

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Based on mathematical models of immunocomputing, this paper proposes an approach to intrusion detection that allows both low-level signal processing (feature extraction) and high-level ("intelligent") pattern recognition.The key model is the formal immune network (FIN) including apoptosis (programmed cell death) and immunization both controlled by cytokines (messenger proteins). FIN can be formed from the raw signal using discrete tree transform, singular value decomposition, and the proposed index of inseparability in comparison with the Renyi entropy. The speed and the accuracy of the approach probably mean a further step toward placing more of the intelligent functions on the chip.

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Immune Network Technology on the Basis of Random Forest Algorithm for Computer-Aided Drug Design

Samigulina

2017

Lecture Notes in Computer Science

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Foundations of Immunocomputing

Cited by 12 publications

References 16 publications

Design and characterization of effective solar cells

Design and characterization of effective solar cells

Mathematical Models of Intrusion Detection by an Intelligent Immunochip

Immune Network Technology on the Basis of Random Forest Algorithm for Computer-Aided Drug Design

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