Tailoring Optimization Approaches with Domain Knowledge in Industry Process for Meta-heuristic Development
The paper presents an Industry Process for Meta-heuristic Development (IPMD) schema, a systematic methodology for applying meta- and hyper-heuristic applications to optimization problems. In this context, we present a case study of Balancing Non-dominated Tournament Genetic Programming (BNTGP) applied to solve two NP-hard multi-objective optimization problems: routing (Capacitated Vehicle Routing…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
