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Modified artificial bee colony algorithm for numerical function optimization

Year: 2012

Type: article

Abstract: In recent years,a new optimization algorithm called artificially colony algorithm has proposed.The standard artificial bee algorithm is weak at the locally searching capability and precision,a modified Artificial Bee Colony(ABC)algorithm is proposed whose core is to integrate the information of global best solution and previous best solution into the solution search equation of ABC,achieves the information exchange of groups.Meanwhile asynchronization variable learning factor introduced here is to keep the balance between the global search and the local search.The tests for continuous function optimization show that the new algorithm is superior to conventional ABC algorithm in quality.

Source: Computer Engineering and Applications Journal

Author: Wang Quanzhou

Institution: China University of Petroleum, Beijing

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W2368222558

FWCI:

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Cited by: 3

Related to: 10