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Author

Ifan Rizqa

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Open access Aug 2026

Deep Reinforcement Learning for Generalizable Multi-Knapsack Optimization in Retail Packaging

Classical metaheuristics such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Simulated Annealing (SA) achieve high solution quality for the Multi-Constraint Multi-Knapsack Parcel Optimization Problem (MCMKPOP) but require full re-optimization whenever bin configurations change, making them impractica...

Ifan Rizqa, Abdul Syukur, Aris Marjuni et al. · 0 citations

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