An enhanced multi-operator differential evolution algorithm for tackling knapsack optimization problem
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08358-7.pdf
Reference108 articles.
1. Acharyya S, Changdar C, Nandi U (2022) A special 0–1 knapsack problem for a small vegetable retailing system under fuzziness: a swarm optimization based approach. Neural Comput Appl 34(11):9175–9190
2. Cacchiani V, Iori M, Locatelli A, Martello S (2022) Knapsack problems-an overview of recent advances. part ii: Multiple, multidimensional, and quadratic knapsack problems. Comput Oper Res 105693
3. Agrawal P, Ganesh T, Mohamed AW (2022) Solving knapsack problems using a binary gaining sharing knowledge-based optimization algorithm. Complex Intell Syst 8(1):43–63
4. Feng Y, Wang G-G (2022) A binary moth search algorithm based on self-learning for multidimensional knapsack problems. Futur Gener Comput Syst 126:48–64
5. Fleszar K (2022) A branch-and-bound algorithm for the quadratic multiple knapsack problem. Eur J Oper Res 298(1):89–98
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