Evaluation of Particle Swarm Optimization Algorithms for Weighted Max-Sat Problem: Technical Report
Neural and Evolutionary Computing
2017-03-21 v2
Abstract
An experimental evaluation is conducted to asses the performance of 4 different Particle Swarm Optimization neighborhood structures in solving Max-Sat problem. The experiment has shown that none of the algorithms achieves statistically significant performance over the others under confidence level of 0.05.
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Cite
@article{arxiv.1212.0639,
title = {Evaluation of Particle Swarm Optimization Algorithms for Weighted Max-Sat Problem: Technical Report},
author = {Osama Khalil},
journal= {arXiv preprint arXiv:1212.0639},
year = {2017}
}
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