Welcome to the InfoSci Platform
Penguins Huddling Optimisation

Penguins Huddling Optimisation

Mohammad Majid al-Rifaie
Copyright: © 2014 |Volume: 6 |Issue: 2 |Pages: 29
ISSN: 1943-0744|EISSN: 1943-0752|EISBN13: 9781466652828|DOI: 10.4018/ijats.2014040101
Cite Article Cite Article

MLA

al-Rifaie, Mohammad Majid. "Penguins Huddling Optimisation." IJATS vol.6, no.2 2014: pp.1-29. http://doi.org/10.4018/ijats.2014040101

APA

al-Rifaie, M. M. (2014). Penguins Huddling Optimisation. International Journal of Agent Technologies and Systems (IJATS), 6(2), 1-29. http://doi.org/10.4018/ijats.2014040101

Chicago

al-Rifaie, Mohammad Majid. "Penguins Huddling Optimisation," International Journal of Agent Technologies and Systems (IJATS) 6, no.2: 1-29. http://doi.org/10.4018/ijats.2014040101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

In our everyday life, people deal with many optimisation problems, some of which trivial and some more complex. These problems have been frequently addressed using multi-agent, population-based approaches. One of the main sources of inspiration for techniques applicable to complex search space and optimisation problems is nature. This paper proposes a new metaheuristic – Penguin Huddling Optimisation or PHO – whose inspiration is beckoned from the huddling behaviour of emperor penguins in Antarctica. The simplicity of the algorithm, which is the implementation of one such paradigm for continuous optimisation, facilitates the analysis of its behaviour and the derivation of the optimal value for its single adjustable parameter in the update equation. A series of experimental trials confirms the promising performance of the optimiser over a set of benchmarks, as well as its competitiveness when compared against few other well-known population based algorithms.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.