Finding Maximum Independent Set using Particle Swarm Optimization

The MaxIS (Maximum Independent Set) belongs to the category of NP-hard problems. To address this issue, we apply the PSO (particle swarm optimization) technique in this study. We evaluate the suggested method against other soft computing methods currently in use. The experimental testing is conducted using DIMACS10 benchmarks. The results demonstrate that the suggested method performs well and surpasses numerous other soft computing techniques, such as genetic algorithm (GA) and grey wolf optimization (GWO).

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Published
2025-01-15
DOI
https://doi.org/10.1109/icoin63865.2025.10993141
Citations
1
Primary Topic
Metaheuristic Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
2.48
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article

Finding Maximum Independent Set using Particle Swarm Optimization

Dharmendra Prasad Mahato, Rajesh Verma
1 citations
Metaheuristic Optimization Algorithms Research
2.48
article

Finding Maximum Independent Set using Particle Swarm Optimization

Dharmendra Prasad Mahato, Rajesh Verma
article en
1 citations

Abstract

The MaxIS (Maximum Independent Set) belongs to the category of NP-hard problems. To address this issue, we apply the PSO (particle swarm optimization) technique in this study. We evaluate the suggested method against other soft computing methods currently in use. The experimental testing is conducted using DIMACS10 benchmarks. The results demonstrate that the suggested method performs well and surpasses numerous other soft computing techniques, such as genetic algorithm (GA) and grey wolf optimization (GWO).

National Institute of Technology Hamirpur (BD)
Affordable and clean energy
Openalex Percentile: Top 11%
Metaheuristic Optimization Algorithms Research
2.48
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