A hybrid population-based algorithm for the bi-objective quadratic multiple knapsack problem
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference40 articles.
1. Branch and solve strategies-based algorithm for the quadratic multiple knapsack problem;Aïder;Journal of the Operational Research Society,2020
2. A two-stage ɛ-constraint strategy-based heuristic for bi-objective quadratic multiple knapsack problems;Aïder,2020
3. Solving the multidimensional multiple-choice knapsack problem by constructing convex hulls;Akbar;Computers & Operations Research,2006
4. A hybrid multi-objective evolutionary optimization approach for the robust vehicle routing problem;Bederina;Applied Soft Computing,2018
5. An exact method for the 0-1 quadratic knapsack problem based on lagrangian decomposition;Billionnet;European Journal of Operational Research,2004
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