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 12):
The method of  claim 9 , assigning the resource heuristic byte to the first resource genome further comprises assigning a single gene per resource specifying the resource heuristic.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 86.0
- Lexical Diversity: 2.09259
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['09866879', '11767891', '10658726', '12874558', '12755089']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3920365144965529
- 35 USC 102 Novelty (BERT): 0.5056258762576684
- Combined Prediction Score: 0.4033954506726644
- Mean Citation Score: 166.50585
- Max Citation Score: 178.55113
- Similarity Product: 94.85824642101645

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

Dataset: test