Tag: Bayesian optimization
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BayMOTH: Efficient Bayesian Optimization with Meta-Lookahead
Discover BayMOTH, a novel Bayesian optimization method that boosts sample efficiency using meta-lookahead and adaptive strategies for AI tasks.
Focus on Single Solutions in Many-Objective Bayesian Optimization
Explore why targeting single high-quality solutions outperforms full Pareto front search in many-objective Bayesian optimization under limited budgets.
Multi-Agent Pathfinding with Non-Unit Edge Costs Using CBS-NIC
Explore advanced multi-agent pathfinding with non-unit integer edge costs using enhanced Conflict-Based Search and graph discretization for better efficien...
AI-Driven Optimization for Sheet Metal Forming Design
Discover how AI enhances sheet metal forming by optimizing design parameters, reducing costs, and cutting environmental impact efficiently.
AI-Driven Workflow for Scalable Detector Design Optimization
Optimize detector design with AI-assisted workflows using PanDA and distributed computing for scalable, efficient multi-objective optimization.