Get Started
Home
Topics
Search
Library
Research questionHow can interdependent heuristic components be jointly evolved without incompatible search behavior in routing optimization?Routing heuristics often contain components whose outputs define the state another component must use. Designing these components independently can produce incompatible search behavior and make expert-free heuristic construction unreliable.
AI
Neural and Evolutionary Computing
Research Paper
Technology
Latest papersRecent research connected to this question, newest first.LLM-Driven Joint Evolution of Coupled Heuristics Components for Routing OptimizationThe evidence concerns an LLM-driven population-based framework that jointly generates and co-evolves solution initialization and penalty-construction components within guided local search. It is evaluated on TSP and CVRP synthetic instances and 41 public TSPLIB/CVRPLIB benchmarks, with reported cross-instance transfer under limited-sample, modest-cost training; the evidence is limited to these routing settings.research paper · Sep 2, 2026
Related questions
How can learned vehicle-routing solvers handle hard constraints without handcrafted heuristics or expensive exact optimization?How can LLM-based heuristic design learn from failed trials while exploring large optimization spaces?How can a navigation map encode heterogeneous route costs compactly while answering new goals without retraining?How can multi-agent LLM systems sustain autonomous exploration and knowledge accumulation in open-ended discovery?