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Nature-Inspired Algorithms: State-of-Art, Problems and Prospects

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 100 - Number 14
Year of Publication: 2014
Authors:
Parul Agarwal
Shikha Mehta
10.5120/17593-8331

Parul Agarwal and Shikha Mehta. Article: Nature-Inspired Algorithms: State-of-Art, Problems and Prospects. International Journal of Computer Applications 100(14):14-21, August 2014. Full text available. BibTeX

@article{key:article,
	author = {Parul Agarwal and Shikha Mehta},
	title = {Article: Nature-Inspired Algorithms: State-of-Art, Problems and Prospects},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {100},
	number = {14},
	pages = {14-21},
	month = {August},
	note = {Full text available}
}

Abstract

Nature-inspired algorithms have gained immense popularity in recent years to tackle hard real world (NP hard and NP complete) problems and solve complex optimization functions whose actual solution doesn't exist. The paper presents a comprehensive review of 12 nature inspired algorithms. This study provides the researchers with a single platform to analyze the conventional and contemporary nature inspired algorithms in terms of required input parameters, their key evolutionary strategies and application areas. A list of automated toolboxes available for directly evaluating these nature inspired algorithms over numerical optimization problems indicates the need for unified toolbox for all nature inspired algorithms. It also elucidates the users with the minimum and maximum dimensions over which these algorithms have already been evaluated on benchmark test functions. Hence this study would aid the research community to know what all algorithms could be examined for large scale global optimization to overcome the problem of 'curse of dimensionality'.

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