Chemical Reaction Optimization: A Survey with Application and Challenges View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2019

AUTHORS

Janmenjoy Nayak , Sura Paparao , Bighnaraj Naik , N. Seetayya , P. Pradeep , H. S. Behera , Danilo Pelusi

ABSTRACT

Both physical and chemical objects, properties, behaviours have remained a great inspiration for the optimization community to develop competitive algorithms in contrast to nature-inspired, swarm- and evolutionary-based algorithms. Although the number of developments in both the areas is only a few, still those algorithms are quite efficient to compete with other nature-inspired algorithms. In this paper, a brief review on a novel chemical reaction optimization algorithm is presented with its applications. The algorithm is based on certain chemical properties and has been a keen interest for solving various problems. Further, some future challenges are discussed for further improvements and applicability in other real-life problems. More... »

PAGES

507-524

References to SciGraph publications

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  • Book

    TITLE

    Soft Computing in Data Analytics

    ISBN

    978-981-13-0513-9
    978-981-13-0514-6

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-981-13-0514-6_50

    DOI

    http://dx.doi.org/10.1007/978-981-13-0514-6_50

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1106270069


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