Method
Genetic Algorithm
Population-based metaheuristic searching over encoded solutions.
Also called: Genetic Algorithm · GA · 진화 알고리즘
A population-based metaheuristic that evolves candidate solutions via selection, crossover, and mutation. Applied to nesting, the genome usually encodes piece order and orientation; a constructive placement rule (e.g. bottom-left-fill) decodes it into a concrete layout that is then scored. It offers no global-optimality guarantee, and performance is reported per benchmark and configuration rather than as a single solver.
Claims & evidence
Every relationship is a claim with an evidence grade; applicable problem-to-problem relationships also carry an equivalence level. See the evidence policy.
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