An Improved Bat Algorithm Based on Hybrid with Ant Lion Optimizer
Bat Algorithm (BA) is one of the fundamental algorithms for solving optimization problems. However, the BA still exists weaknesses in terms of exploitation and exploration. In this paper, an enhancing capability of exploration and exploitation for BA by hybridizing BA with Ant Lion Optimizer (ALO) i...
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2020
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oai:https:--lib.hpu.edu.vn:123456789-331152024-06-21T06:06:36Z An Improved Bat Algorithm Based on Hybrid with Ant Lion Optimizer Đào, Thị Kiên Chu, Shu Chuan Pan, Jeng Shyang Nguyễn, Trọng Thể Ngô, Trường Giang Nguyễn, Trịnh Đông Trần, Hữu Trung Improved Bat algorithm Optimization Ant Lion Optimizer Bat algorithm Bat Algorithm (BA) is one of the fundamental algorithms for solving optimization problems. However, the BA still exists weaknesses in terms of exploitation and exploration. In this paper, an enhancing capability of exploration and exploitation for BA by hybridizing BA with Ant Lion Optimizer (ALO) is proposed for the global optimization problems. In the experimental section, several benchmark functions are used to test the performance of the proposed approach. Compared results with other algorithms literature show that the proposed method provides a new competitive algorithm. 2020-05-14T03:13:44Z 2020-05-14T03:13:44Z 2020 Article https://lib.hpu.edu.vn/handle/123456789/33115 en tr. 50 - 60 application/pdf application/pdf Springer |
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Trường Đại học Quản lý và Công nghệ Hải Phòng |
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language |
English |
topic |
Improved Bat algorithm Optimization Ant Lion Optimizer Bat algorithm |
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Improved Bat algorithm Optimization Ant Lion Optimizer Bat algorithm Đào, Thị Kiên Chu, Shu Chuan Pan, Jeng Shyang Nguyễn, Trọng Thể Ngô, Trường Giang Nguyễn, Trịnh Đông Trần, Hữu Trung An Improved Bat Algorithm Based on Hybrid with Ant Lion Optimizer |
description |
Bat Algorithm (BA) is one of the fundamental algorithms for solving optimization problems. However, the BA still exists weaknesses in terms of exploitation and exploration. In this paper, an enhancing capability of exploration and exploitation for BA by hybridizing BA with Ant Lion Optimizer (ALO) is proposed for the global optimization problems. In the experimental section, several benchmark functions are used to test the performance of the proposed approach. Compared results with other algorithms literature show that the proposed method provides a new competitive algorithm. |
format |
Article |
author |
Đào, Thị Kiên Chu, Shu Chuan Pan, Jeng Shyang Nguyễn, Trọng Thể Ngô, Trường Giang Nguyễn, Trịnh Đông Trần, Hữu Trung |
author_facet |
Đào, Thị Kiên Chu, Shu Chuan Pan, Jeng Shyang Nguyễn, Trọng Thể Ngô, Trường Giang Nguyễn, Trịnh Đông Trần, Hữu Trung |
author_sort |
Đào, Thị Kiên |
title |
An Improved Bat Algorithm Based on Hybrid with Ant Lion Optimizer |
title_short |
An Improved Bat Algorithm Based on Hybrid with Ant Lion Optimizer |
title_full |
An Improved Bat Algorithm Based on Hybrid with Ant Lion Optimizer |
title_fullStr |
An Improved Bat Algorithm Based on Hybrid with Ant Lion Optimizer |
title_full_unstemmed |
An Improved Bat Algorithm Based on Hybrid with Ant Lion Optimizer |
title_sort |
improved bat algorithm based on hybrid with ant lion optimizer |
publisher |
Springer |
publishDate |
2020 |
url |
https://lib.hpu.edu.vn/handle/123456789/33115 |
work_keys_str_mv |
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1803674524077522944 |