@inproceedings{0420ca6e17b54feb8b6b165a020ac0fe,
title = "Genetic Algorithm, Particle Swarm Optimization and Harmony Search: A quick comparison",
abstract = "There exists several complex optimization problems, are difficult to solve using simple conventional or mathematical approach. Many scientific applications have a search space exponentially proportional to the problem dimensions, cannot be solved employing exhaustive search methods. Therefore, there is considerable interest in metaheuristic methods attempt to discover near optimal solution within the acceptable time. This paper presents a comprehensive study and comparison of three: Genetic Algorithm, Particle Swarm Optimization and Harmony Search, global optimization algorithms. The comparative analysis has been reported in an organized manner for quick review. The underlying motivation is to identify possibility to develop a new hybrid algorithm to solve real world problems.",
keywords = "algorithm, artificial intelligence, genetic algorithm, harmony search, meta-heuristic algorithms, optimization, particle swarm optimization",
author = "Sonia Sharma and Pandey, {Hari Mohan}",
year = "2016",
month = jul,
day = "8",
doi = "10.1109/CONFLUENCE.2016.7508044",
language = "English",
isbn = "9781467382021",
series = "Proceedings of the 2016 6th International Conference - Cloud System and Big Data Engineering, Confluence 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "40--44",
editor = "Abhay Bansal and Abhishek Singhal",
booktitle = "Proceedings of the 2016 6th International Conference - Cloud System and Big Data Engineering, Confluence 2016",
address = "United States",
note = "6th International Conference on Cloud System and Big Data Engineering, Confluence 2016 ; Conference date: 14-01-2016 Through 15-01-2016",
}