PATENT CLAIM ANALYSIS

Application Number: 15871611
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["706", "013000"]

Abstract:
In a method for handling a plurality of heuristics for task selection in a genetic algorithm, a task scheduling engine generates a population of tasks associated with an overall objective, identifies multiple jobs associated with an overall objective, compiles the multiple jobs into a genome, and assigns one or more tasks to each job of the multiple jobs. The task scheduling engine also assigns a task heuristic byte defining multiple task heuristics that can be applied to the each job of the genome, randomly assigns a task heuristic from the multiple task heuristics to the each job, and determines a value score for the genome.

Claim (Index 7):
The method of  claim 1 , further comprising:\n randomly selecting a job; determining the task heuristic and the tasks associated with the job; randomly changing one or more variables associated with the job to create a mutated job; and integrating the mutated job into the task genome in place of the job.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 86.0
- Lexical Diversity: 2.09259
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['09866879', '11767891', '10658726', '12874558', '12755089']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3703316412570059
- 35 USC 102 Novelty (BERT): 0.4774424284130286
- Combined Prediction Score: 0.3810427199726082
- Mean Citation Score: 166.50585
- Max Citation Score: 178.55113
- Similarity Product: 125.6438983443123

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test