Penguins Huddling Optimisation
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 o...
Main Author: | |
---|---|
Format: | Article in Journal/Newspaper |
Language: | unknown |
Subjects: | |
Online Access: | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijats.2014040101 |
id |
ftrepec:oai:RePEc:igg:jats00:v:6:y:2014:i:2:p:1-29 |
---|---|
record_format |
openpolar |
spelling |
ftrepec:oai:RePEc:igg:jats00:v:6:y:2014:i:2:p:1-29 2024-04-14T08:02:12+00:00 Penguins Huddling Optimisation Mohammad Majid al-Rifaie http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijats.2014040101 unknown http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijats.2014040101 article ftrepec 2024-03-19T10:29:39Z 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. Article in Journal/Newspaper Antarc* Antarctica Emperor penguins RePEc (Research Papers in Economics) |
institution |
Open Polar |
collection |
RePEc (Research Papers in Economics) |
op_collection_id |
ftrepec |
language |
unknown |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Mohammad Majid al-Rifaie |
spellingShingle |
Mohammad Majid al-Rifaie Penguins Huddling Optimisation |
author_facet |
Mohammad Majid al-Rifaie |
author_sort |
Mohammad Majid al-Rifaie |
title |
Penguins Huddling Optimisation |
title_short |
Penguins Huddling Optimisation |
title_full |
Penguins Huddling Optimisation |
title_fullStr |
Penguins Huddling Optimisation |
title_full_unstemmed |
Penguins Huddling Optimisation |
title_sort |
penguins huddling optimisation |
url |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijats.2014040101 |
genre |
Antarc* Antarctica Emperor penguins |
genre_facet |
Antarc* Antarctica Emperor penguins |
op_relation |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijats.2014040101 |
_version_ |
1796313320255389696 |