Tag: 2D cutting optimization
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AlphaLab: Autonomous Multi-Agent Research with Advanced LLMs
Discover AlphaLab, an autonomous multi-agent system using frontier LLMs to optimize GPU kernels, LLM pretraining, and traffic forecasting efficiently.
Optimizing Plans to Minimize Disruption and Costs
Discover how to create efficient plans that minimize state changes and action costs, balancing goal achievement with minimal disruption.
Traveling Thief Problem with Time Windows: Benchmarks & Heuristics
Explore benchmarks and heuristics for the Traveling Thief Problem with time windows, enhancing solutions for logistics and optimization challenges.
TurboAgent: Autonomous LLM Framework for Turbomachinery Design
Discover TurboAgent, an autonomous LLM-driven framework optimizing turbomachinery aerodynamic design with multi-agent coordination and high-fidelity valida...
Efficient 2D Cutting Stock Problem Solving with SAT MaxSAT
Discover advanced SAT and MaxSAT methods to solve the 2D cutting stock problem, minimizing waste and optimizing sheet usage efficiently.