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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Tác giả chính: Đào, Thị Kiên, Chu, Shu Chuan, Pan, Jeng Shyang, Nguyễn, Trọng Thể, Ngô, Trường Giang, Nguyễn, Trịnh Đông, Trần, Hữu Trung
Định dạng: Bài trích
Ngôn ngữ:English
Thông tin xuất bản: Springer 2020
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Truy cập trực tuyến:https://lib.hpu.edu.vn/handle/123456789/33115
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spelling 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
institution Trường Đại học Quản lý và Công nghệ Hải Phòng
collection DSpaceHPU
language English
topic Improved Bat algorithm
Optimization
Ant Lion Optimizer
Bat algorithm
spellingShingle 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
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