Planning approach that simultaneously satisfies multiple constraints while optimizing objectives
Loading technique guide…
Planning approach that simultaneously satisfies multiple constraints while optimizing objectives
Loading technique guide…
Formalize the problem as variables with finite domains and constraints over them. Apply constraint propagation (e.g., arc/path consistency) to prune domains, then search with heuristics such as minimum-remaining-values and least-constraining-value with backtracking/forward checking. For optimization, use CP-SAT/MILP/SMT encodings to optimize an objective under hard constraints while scoring soft preferences.
Formalize the problem as variables with finite domains and constraints over them. Apply constraint propagation (e.g., arc/path consistency) to prune domains, then search with heuristics such as minimum-remaining-values and least-constraining-value with backtracking/forward checking. For optimization, use CP-SAT/MILP/SMT encodings to optimize an objective under hard constraints while scoring soft preferences.