METHODS OF POPULATING DATA STRUCTURES FOR USE IN EVOLUTIONARY SIMULATIONS

Patent №

US 7,873,499

Granted

2011-01-18

Filed 2007

Owner

Lab

AI components

4

ml · nlp · evo · hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

11973805

In particular, this invention provides novel methods of populating data structures for use in evolutionary modeling. In particular, this invention provides methods of populating a data structure with a plurality of character strings. The methods involve encoding two or more a biological molecules into character strings to provide a collection of two or more different initial character strings; selecting at least two substrings from the pool of character strings; concatenating the substrings to form one or more product strings about the same length as one or more of the initial character strings; adding the product strings to a collection of strings; and optionally repeating this process using one or more of the product strings as an initial string in the collection of initial character strings.

Machine learningNatural languageEvolutionary computationAI hardwareG06N 3/126G16B 20/00G16B 20/20G16B 20/30G16B 30/10G16B 30/20G16B 10/00G16B 30/00+1 more

AI classification

Natural language1.00
Machine learning1.00
Evolutionary computation0.74
AI hardware0.62
Vision0.08
Knowledge representation0.06
Planning0.00
Speech0.00
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