Seghir, F. (2021) FDMOABC: Fuzzy Discrete Multi-Objective Artificial Bee Colony Approach for Solving the Non-Deterministic QoS-Driven Web Service Composition Problem. Expert Systems with Applications, 167, Article ID: 114413.
https://doi.org/10.1016/j.eswa.2020.114413

has been cited by the following article:

• TITLE: Composition of Web Services of Multi-Population Adaptive Genetic Algorithm Based on Cosine Improvement

  AUTHORS: Siyuan Meng, Chuancheng Zhang

  KEYWORDS: Web Service Composition, Multi-Population Genetic Algorithm, QoS, Cosine Improved Adaptive Genetic Operator

  JOURNAL NAME: Journal of Computer and Communications, Vol.9 No.6, June 21, 2021

  ABSTRACT: Web quality of service (QoS) awareness requires not only the selection of specific services to complete specific tasks, but also the comprehensive quality of service of the whole web service composition. How to select the web service composition with the highest comprehensive QoS is a NP hard problem. In this paper, an improved multi population genetic algorithm is proposed. Cosine adaptive operator is added to the algorithm to avoid premature algorithm caused by improper genetic operator and the disadvantage of destroying excellent individuals in later period. Experimental results show that compared with the common genetic algorithm and multi population genetic algorithm, this algorithm has the advantages of shorter time consumption and higher accuracy, and effectively avoids the loss of effective genes in the population.