multi-objective optimization
PulseAugur coverage of multi-objective optimization — every cluster mentioning multi-objective optimization across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
ORACLE framework uses LLMs and RL for multi-objective analog circuit design
Researchers have developed ORACLE, a novel framework for optimizing analog circuit design using multi-objective reinforcement learning. Unlike previous methods that simplify multiple objectives into a single reward, ORA…
-
New LLM routing framework optimizes performance using online linear programming · 2 sources tracked
A new online linear programming framework has been developed for optimizing routing in large language model (LLM) serving. This approach uses a multi-objective optimization strategy to balance latency, throughput, and o…
-
New method computes integral R2 indicator using box decomposition
Researchers have developed a new method for computing the continuous integral R2 indicator, a refinement of the classical R2 indicator used in multi-objective optimization and database selection. This technique employs …
-
New method optimizes resource handover policies using evolutionary algorithms
Researchers have developed a new method for optimizing resource allocation in business processes by creating resource-specific handover policies. This approach combines a multi-agent system simulator with a multi-object…
-
New methods enhance robust optimization with ensemble models and worst-case distribution analysis
Researchers have developed new methods for distributionally robust optimization, a technique that accounts for uncertainty in data distributions. One approach, Ensemble Distributionally Robust Bayesian Optimization, use…