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Published in: Evolutionary Intelligence 1-2/2018

25-09-2018 | Editorial

Editorial

Author: Poonam Yadav

Published in: Evolutionary Intelligence | Issue 1-2/2018

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Excerpt

I personally thank for the great opportunity offered to me to act as the Guest Editor of this special issue, which is on nature inspired algorithms and their applications. Nature-Inspired Algorithms (NIA)hasattained immense popularityin recent years for tackling thehard real world (NP hard and NP complete) problems and complex optimization functions for which actual solution doesn’t exist. The main purpose behind the development of such algorithms is to optimize engineering problems. Since the world is looking towards industrialization, engineering problems are becoming tedious and tricky to optimize. This is because of growing dimensions, time complexity, variables, space complexity and so on. In order tocope up with such situation, nature-inspired algorithms are designed to optimize multi-objective functions, numerical benchmark functions and solve NP-hard problems for more variables, dimensions, etc. In fact, NIA is mainly categorized into two: evolutionary algorithms and Swarm intelligence-based algorithms. Evolutionary algorithms are purely based on the evolutionary behaviour of natural systems. These algorithms employ recombination and mutation operators for optimizing the complex issues, e.g., genetic algorithm, differential evolution and so on. Swarm intelligence (SI) based algorithms, also termed as swarm optimization techniques attempt to optimize the engineering problems by imitating the collective searching behaviour of natural swarms. Swarm intelligence and evolutionary algorithms form a hot topic in the developments of new algorithms inspired by nature. Besides these categories, NIA hasdifferent other classifications that are dependent tosource of inspiration. For instance, artificial neural network mimics the decision-making process of human brain. It also gains much attention from the researchers to solve prediction and classification problems. …

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Metadata
Title
Editorial
Author
Poonam Yadav
Publication date
25-09-2018
Publisher
Springer Berlin Heidelberg
Published in
Evolutionary Intelligence / Issue 1-2/2018
Print ISSN: 1864-5909
Electronic ISSN: 1864-5917
DOI
https://doi.org/10.1007/s12065-018-0175-z

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