JOURNAL ARTICLE

Solve Zero-One Knapsack Problem by Greedy Genetic Algorithm

Abstract

In order to overcome the disadvantages of the traditional genetic algorithm and improve the speed and precision of the algorithm, the author improved the selection strategy, integrated the greedy algorithm with the genetic algorithm and formed the greedy genetic algorithm. The paper discussed the basic idea and method to solve the zero-one knapsack problem using this greedy genetic algorithm. The experiments prove the feasibility and validity of the algorithm.

Keywords:
Knapsack problem Greedy algorithm Continuous knapsack problem Genetic algorithm Algorithm Greedy randomized adaptive search procedure Mathematical optimization Selection (genetic algorithm) Computer science Cultural algorithm Population-based incremental learning Polynomial-time approximation scheme Mathematics Artificial intelligence

Metrics

7
Cited By
3.14
FWCI (Field Weighted Citation Impact)
9
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Manufacturing and Logistics Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Optimization and Packing Problems
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Advanced Algorithms and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering

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