Thirer, 2020 - Google Patents
An FPGA implementation of a self-adaptive genetic algorithmThirer, 2020
- Document ID
- 3912811539403161859
- Author
- Thirer N
- Publication year
- Publication venue
- Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II
External Links
Snippet
A genetic algorithm (GA) is an iterative procedure which performs several processes with the population individuals (chromosomes) to produce a new population, like in the biological evolution. To avoid the premature convergence, the paper proposes a self-adaptive …
- 230000002068 genetic 0 title abstract description 16
Classifications
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- G06F17/5009—Computer-aided design using simulation
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- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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- G06N3/12—Computer systems based on biological models using genetic models
- G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
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- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/16—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for molecular structure, e.g. structure alignment, structural or functional relations, protein folding, domain topologies, drug targeting using structure data, involving two-dimensional or three-dimensional structures
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- G06Q30/00—Commerce, e.g. shopping or e-commerce
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