Dongshuai Niu, Guangwen Yi, Long Chen, Zhenzhou Tang
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引用次数: 0
Abstract
To further improve upon the deficiencies of traditional algorithms in terms of population diversity, convergence accuracy, and speed, this paper introduces a Dynamic Multi-Population Hybrid Metaheuristic Algorithm (DHA). DHA dynamically categorizes the population into Elite, Follower, and Explorer subgroups, applying specific strategies: a novel dimension-wise Gaussian mutation combined with the Sine Cosine Algorithm (SCA) for the Elite, a randomized spiral search for the Explorer, and Lévy flight for the Follower. Rigorous testing on benchmark sets like CEC2005, CEC2017, and CEC2019, alongside practical application in Service Function Chain (SFC) mapping, underscores DHA’s superior performance and applicability.
期刊介绍:
The Journal of Bionic Engineering (JBE) is a peer-reviewed journal that publishes original research papers and reviews that apply the knowledge learned from nature and biological systems to solve concrete engineering problems. The topics that JBE covers include but are not limited to:
Mechanisms, kinematical mechanics and control of animal locomotion, development of mobile robots with walking (running and crawling), swimming or flying abilities inspired by animal locomotion.
Structures, morphologies, composition and physical properties of natural and biomaterials; fabrication of new materials mimicking the properties and functions of natural and biomaterials.
Biomedical materials, artificial organs and tissue engineering for medical applications; rehabilitation equipment and devices.
Development of bioinspired computation methods and artificial intelligence for engineering applications.