A Survey on Recent Trends of PIO and Its Variants Applied for Motion Planning of Dynamic Agents
Pigeon Inspired Optimization (PIO) algorithm is gaining popularity since its development due to faster convergence ability with great efficiencies when compared with other bio-inspired algorithms. The navigation capability of homing pigeons has been precisely used in Pigeon Inspired Optimization alg...
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| Format: | Book Chapter |
| Language: | English |
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2021
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| Online Access: | https://www.intechopen.com/chapters/78435 |
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| _version_ | 1879164748000395264 |
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| author | Shafiq, Muhammad Ali, Zain Anwar Alkhammash, Eman H. |
| author_browse | Ali, Zain Anwar Alkhammash, Eman H. Shafiq, Muhammad |
| author_facet | Shafiq, Muhammad Ali, Zain Anwar Alkhammash, Eman H. |
| author_sort | Shafiq, Muhammad |
| building | IntechOpen |
| collection | Acceso abierto |
| description | Pigeon Inspired Optimization (PIO) algorithm is gaining popularity since its development due to faster convergence ability with great efficiencies when compared with other bio-inspired algorithms. The navigation capability of homing pigeons has been precisely used in Pigeon Inspired Optimization algorithm and continuous advancement in existing algorithms is making it more suitable for complex optimization problems in various fields. The main theme of this survey paper is to introduce the basics of PIO along with technical advancements of PIO for the motion planning techniques of dynamic agents. The survey also comprises of findings and limitations of proposed work since its development to help the research scholar around the world for particular algorithm selection especially for motion planning. This survey might be extended up to application based in order to understand the importance of algorithm in future studies. |
| doi_str_mv | 10.5772/intechopen.99881 |
| first_indexed | 2026-10-15T21:39:15Z |
| format | Book Chapter |
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<dc:title>A Survey on Recent Trends of PIO and Its Variants Applied for Motion Planning of Dynamic Agents</dc:title>
<dc:creator>Muhammad Shafiq</dc:creator>
<dc:creator>Zain Anwar Ali</dc:creator>
<dc:creator>Eman H. Alkhammash</dc:creator>
<dc:subject>Physical Sciences, Engineering and Technology</dc:subject>
<dc:description>Pigeon Inspired Optimization (PIO) algorithm is gaining popularity since its development due to faster convergence ability with great efficiencies when compared with other bio-inspired algorithms. The navigation capability of homing pigeons has been precisely used in Pigeon Inspired Optimization algorithm and continuous advancement in existing algorithms is making it more suitable for complex optimization problems in various fields. The main theme of this survey paper is to introduce the basics of PIO along with technical advancements of PIO for the motion planning techniques of dynamic agents. The survey also comprises of findings and limitations of proposed work since its development to help the research scholar around the world for particular algorithm selection especially for motion planning. This survey might be extended up to application based in order to understand the importance of algorithm in future studies.</dc:description>
<dc:publisher>IntechOpen</dc:publisher>
<dc:date>2021-09-05</dc:date>
<dc:type>Chapter, Part Of Book</dc:type>
<dc:identifier>https://www.intechopen.com/chapters/78435</dc:identifier>
<dc:identifier>doi:10.5772/intechopen.99881</dc:identifier>
<dc:language>en</dc:language>
<dc:relation>ISBN:978-1-83969-773-9</dc:relation>
<dc:rights>https://creativecommons.org/licenses/by/3.0/</dc:rights>
<dc:source>https://www.intechopen.com/books/10655 ; Motion Planning</dc:source>
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| id | intech-78435 |
| institution | IntechOpen |
| isbn | 978-1-83969-773-9 |
| language | English |
| last_indexed | 2026-10-15T21:39:15Z |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | oai_dc |
| spelling | intech-784352021-09-05 A Survey on Recent Trends of PIO and Its Variants Applied for Motion Planning of Dynamic Agents Muhammad Shafiq Zain Anwar Ali Eman H. Alkhammash Physical Sciences, Engineering and Technology Pigeon Inspired Optimization (PIO) algorithm is gaining popularity since its development due to faster convergence ability with great efficiencies when compared with other bio-inspired algorithms. The navigation capability of homing pigeons has been precisely used in Pigeon Inspired Optimization algorithm and continuous advancement in existing algorithms is making it more suitable for complex optimization problems in various fields. The main theme of this survey paper is to introduce the basics of PIO along with technical advancements of PIO for the motion planning techniques of dynamic agents. The survey also comprises of findings and limitations of proposed work since its development to help the research scholar around the world for particular algorithm selection especially for motion planning. This survey might be extended up to application based in order to understand the importance of algorithm in future studies. IntechOpen 2021-09-05 Chapter, Part Of Book https://www.intechopen.com/chapters/78435 doi:10.5772/intechopen.99881 en ISBN:978-1-83969-773-9 https://creativecommons.org/licenses/by/3.0/ https://www.intechopen.com/books/10655 ; Motion Planning |
| spellingShingle | Physical Sciences, Engineering and Technology Shafiq, Muhammad Ali, Zain Anwar Alkhammash, Eman H. A Survey on Recent Trends of PIO and Its Variants Applied for Motion Planning of Dynamic Agents |
| title | A Survey on Recent Trends of PIO and Its Variants Applied for Motion Planning of Dynamic Agents |
| title_full | A Survey on Recent Trends of PIO and Its Variants Applied for Motion Planning of Dynamic Agents |
| title_fullStr | A Survey on Recent Trends of PIO and Its Variants Applied for Motion Planning of Dynamic Agents |
| title_full_unstemmed | A Survey on Recent Trends of PIO and Its Variants Applied for Motion Planning of Dynamic Agents |
| title_short | A Survey on Recent Trends of PIO and Its Variants Applied for Motion Planning of Dynamic Agents |
| title_sort | survey on recent trends of pio and its variants applied for motion planning of dynamic agents |
| topic | Physical Sciences, Engineering and Technology |
| url | https://www.intechopen.com/chapters/78435 |
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