An exploratory landscape analysis driven artificial bee colony algorithm with maximum entropic epistasis-Reference-Cited by-同舟云学术

An exploratory landscape analysis driven artificial bee colony algorithm with maximum entropic epistasis

Published:2023-04 Issue: Volume:137 Page:110139
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Zhao Fuqing^ORCID,Wang Zhenyu,Wang Ling,Xu Tianpeng,Zhu Ningning,Jonrinaldi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

Reference57 articles.

1. Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes;Cerquitelli;Expert Syst. Appl.,2021

2. Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem;Pan;Expert Syst. Appl.,2019

3. Cloud-based sustainability assessment (CSA) system for automating the sustainability decision-making process of built assets;Olawumi;Expert Syst. Appl.,2022

4. Revisiting the performance of evolutionary algorithms;Vala;Expert Syst. Appl.,2021

5. R. Storn, K. Price, Differential Evolution - a Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces, Tech. Rep., 1995, pp. 1–12, ftp://ftp.icsi.berkeley.edu/pub/techreports/1995/tr-95-012.pdf.

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