Knowledge Based Models TRIZ Cases
- Hypergraph MRTA Search for Real-Time Smart Factory Reallocation
A hypergraph search splits multi-robot allocation into tractable real-time decisions, balancing throughput, AMR energy use, and computation time.
- Ultimate Reason Code Generation for Reliable Nonlinear Models
Retrained sub-models with selective variable knockouts identify the score drop that yields consistent ultimate reason codes for nonlinear models.
- AI Agent Preference Narrowing for Multi-User Outcome Selection
Machine-learned agents iteratively score and narrow candidate outcomes to reach a definitive result while respecting multiple users' preferences.
- Gradient Boosting Reinforcement Learning for Interpretable Structured Data
A gradient boosting RL framework replaces neural networks to improve interpretability, handle categorical data, and run on low-compute devices.
- Auxiliary-Variable Function Transformation for Higher-Order Optimization
Auxiliary variable constraints and substitution convert quadratic evaluation functions into higher-order forms while preserving solver equivalence.
- Context-Aware Prompt Retrieval Using Semantic Embeddings
Semantic embeddings narrow vague prompt searches, rank relevant matches, and reduce unnecessary large language model API calls.
- Ultimate Reason Code Generation Through Submodel Retraining
This case retrains models with reason-code subsets to resolve inconsistent explanations from complex nonlinear scoring models.
- Infrastructure Issue Summarization Using Directed Acyclic Graphs
Directed acyclic graphs structure infrastructure issues into vertices with rules and severity tuples, summarizing core problems to reduce manual analysis time.
- Neural Network Geometry Optimization
Pre-trained neural network replaces finite element method simulations to reduce computation time during geometric optimization.
- Service Synthesis Graph Traversal for Budget and Time Constraints
Automated service synthesis system generates meta-graphs using heuristic traversal algorithms to produce novel service offerings.
- 0-1 Integer Programming Variable Correlation Analysis
Identifies variable pairings in 0-1 integer programming problems using appearance frequency and relationship degree to register correlation information.
- Rotorcraft Trajectory Optimization for Noise Annoyance Reduction
Iterative trajectory optimization calculates noise indicators to adjust flight paths and minimize acoustic impact on ground populations.