Tag: combinatorial optimization
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AHD Agent: Reinforcement Learning for Smart Heuristic Design
Discover how AHD Agent uses agentic reinforcement learning to enhance automatic heuristic design for complex optimization problems efficiently.
HMACE: Multi-Agent Evolution for Combinatorial Optimization
Discover HMACE, a multi-agent framework boosting efficiency in solving complex combinatorial optimization problems using collaborative AI evolution.
Fast Redistricting Optimization with Composite-Move Tabu Search
Discover how Composite-Move Tabu Search speeds up redistricting optimization while ensuring fair and contiguous electoral districts.
Graph Normalization for Fast Differentiable MWIS Solutions
Discover Graph Normalization, a fast, reliable method for solving the MWIS problem with applications in AI, optimization, and network pruning.
Heuristic Design with LLMs: Bridging Code and Knowledge
Explore how large language models transform heuristic design by prioritizing knowledge over code for better optimization and algorithm development.