Patent US 7,783,533

Patent №

US 7,783,533

Granted

Owner

Lab

AI components

3

kr · planning · evo

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

12131620

Selecting one or more entities from a plurality of candidate entities subject to one or more constraints is accomplished by establishing upper and lower profit-margin boundary values and determining an optimal profit-margin value within the boundary values using an iterative process. The iterative process includes one or more iterations of: setting a current profit-margin candidate based on a current upper profit-margin boundary value and a current lower profit-margin boundary value, determining whether the current profit-margin candidate value satisfies the constraint(s), adjusting the current upper or lower profit-margin boundary value based on the current profit-margin candidate value, and determining whether to use the current profit-margin candidate value as the optimal profit-margin value based the current upper profit-margin boundary value and the current lower profit-margin boundary value. The respective quantity for each of the candidate entities is then calculated based on the optimal profit-margin value.

AI classification

Planning1.00
Evolutionary computation1.00
Knowledge representation0.98
Machine learning0.45
AI hardware0.33
Vision0.21
Natural language0.02
Speech0.00
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