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Erschienen in:
Swarm Intelligence and Evolutionary Computation: Overview and Analysis Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Fireflies in the Fruits and Vegetables: Combining the Firefly Algorithm with Goal Programming for Setting Optimal Osmotic Dehydration Parameters of Produce

verfasst von : Raha Imanirad, Julian Scott Yeomans

Erschienen in: Recent Advances in Swarm Intelligence and Evolutionary Computation

Verlag: Springer International Publishing

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Abstract

This study employs the Firefly Algorithm (FA) to determine the optimal parameter settings needed in the osmotic dehydration process of fruits and vegetables. Two case studies are considered. For both cases, the functional form of the osmotic dehydration model is established using response surface techniques with the resulting optimization formulations being non-linear goal programming models. For optimization purposes, a computationally efficient, FA-driven method is employed and the resulting solutions are shown to be superior to those from previous approaches for the osmotic process parameters. The final component of this study provides a computational experimentation performed on the FA to illustrate the relative sensitivity of this nature-inspired metaheuristic approach over a range of the two key parameters that most influence its running time.

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Vorheriges Kapitel Globally Convergent Hybridization of Particle Swarm Optimization Using Line Search-Based Derivative-Free Techniques
Nächstes Kapitel Hybrid Metaheuristic Algorithms: Past, Present, and Future
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Metadaten
Titel
Fireflies in the Fruits and Vegetables: Combining the Firefly Algorithm with Goal Programming for Setting Optimal Osmotic Dehydration Parameters of Produce
verfasst von
Raha Imanirad
Julian Scott Yeomans
Copyright-Jahr
2015
Buch
Recent Advances in Swarm Intelligence and Evolutionary Computation

Print ISBN: 978-3-319-13825-1

Electronic ISBN: 978-3-319-13826-8

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-13826-8_3