FDMOABC: Fuzzy Discrete Multi-Objective Artificial Bee Colony approach for solving the non-deterministic QoS-driven web service composition problem

作者：

Highlights：

• Formulating a Fuzzy Multi-Objective QoS-based Web Service Composition Problem (FMOQWSCP).

• A fuzzy discrete multi-objective artificial bee colony is introduced to solve FMOQWSCP.

• To determine the optimal composite service; we develop a fuzzy multi-criteria decision-making method.

• Performing a comparative study of our solution approaches against fuzzy existing algorithms.

• The compared algorithms are performed on a fuzzy version of the public QWS dataset.

摘要

•Formulating a Fuzzy Multi-Objective QoS-based Web Service Composition Problem (FMOQWSCP).•A fuzzy discrete multi-objective artificial bee colony is introduced to solve FMOQWSCP.•To determine the optimal composite service; we develop a fuzzy multi-criteria decision-making method.•Performing a comparative study of our solution approaches against fuzzy existing algorithms.•The compared algorithms are performed on a fuzzy version of the public QWS dataset.

论文关键词：QoS-driven web service composition,QoS uncertainty,Fuzzy number and fuzzy ranking,Multi-objective optimization,ABC algorithm,Multi-criteria decision-making

论文评审过程：Received 13 December 2019, Revised 20 November 2020, Accepted 28 November 2020, Available online 1 December 2020, Version of Record 6 December 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114413