A hybrid ant colony optimization algorithm for the knapsack problem with a single continuous variable

Author:

Yang Xinhua1,Zhou Yufan1,Shen Ailing1,Lin Juan1,Zhong Yiwen1

Affiliation:

1. Fujian Agriculture and Forestry University and Fujian Province University, Fuzhou, Fujian Province, China

Publisher

ACM

Reference21 articles.

1. Encoding transformation-based differential evolution algorithm for solving knapsack problem with single continuous variable

2. Modeling and Solving by Dimensionality Reduction of KPC Problem based on discrete Difference Evolution;He Yichao;Chinese Journal of Computers,2019

3. Exact algorithm for solving knapsack problem with a single continuous variable;He Yichao;Journal of Mathematics in Practice and Theory,2018

4. An ant colony optimization approach for the multidimensional knapsack problem

5. A new ant colony optimization algorithm for the multidimensional Knapsack problem

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1. Random following ant colony optimization: Continuous and binary variants for global optimization and feature selection;Applied Soft Computing;2023-09

2. Learning-Based Neural Ant Colony Optimization;Proceedings of the Genetic and Evolutionary Computation Conference;2023-07-12

3. An improved Henry gas optimization algorithm for joint mining decision and resource allocation in a MEC-enabled blockchain networks;Neural Computing and Applications;2023-06-07

4. An enhanced multi-operator differential evolution algorithm for tackling knapsack optimization problem;Neural Computing and Applications;2023-03-14

5. On the adoption of Metaheuristics for Solving 0–1 Knapsack Problems;2021 12th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP);2021-12-10

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