On the adoption of Metaheuristics for Solving 0–1 Knapsack Problems
Author:
Affiliation:
1. Wenzhou-Kean University,Department of Computer Science,Wenzhou,CHINA,325060
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9720298/9720304/09720471.pdf?arnumber=9720471
Reference20 articles.
1. Hybrid Ant Colony Optimization Algorithm for Multiple Knapsack Problem
2. Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
3. Entanglement-Enhanced Quantum-Inspired Tabu Search Algorithm for Function Optimization
4. Improved Genetic Algorithm Based on Critical Self-Organization and Gaussian Memory for Solving Dynamic Optimization Problems;mohammadpour;Soft Computing Journal,2021
5. Greedy Randomized Adaptive Search Procedures: Advances and Extensions
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Application of Metaheuristic Algorithms and Their Combinations to Travelling Salesman Problem;Intelligent Computing and Optimization;2023
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