Improved differential evolution algorithm based on the sawtooth-linear population size adaptive method-Reference-Cited by-同舟云学术

Improved differential evolution algorithm based on the sawtooth-linear population size adaptive method

Published:2022-08 Issue: Volume:608 Page:1045-1071
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Zeng Zhiqiang,Zhang Min,Zhang Huanhuan,Hong Zhiyong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference45 articles.

1. N.H. Awad, M.Z. Ali, J. Liang, B. Qu, P. Suganthan, Technical Report, in: Problem Definitions and Evaluation Criteria for the CEC 2017 Special Session and Competition on Single Objective Real-parameter Numerical Optimization, Nanyang Technological University Singapore, 2016.

2. Population size reduction for the differential evolution algorithm;Brest;Appl. Intelligence,2008

3. iL-SHADE: Improved L-SHADE algorithm for single objective real-parameter optimization;Brest,2016

4. Single objective real-parameter optimization: Algorithm jSO;Brest,2017

5. Self-adaptive differential evolution algorithm with population size reduction for single objective bound-constrained optimization: Algorithm j21;Brest,2021

Cited by 34 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HAPI-DE: Differential evolution with hierarchical archive based mutation strategy and promising information;Swarm and Evolutionary Computation;2024-12

2. CIR-DE: A chaotic individual regeneration mechanism for solving the stagnation problem in differential evolution;Swarm and Evolutionary Computation;2024-12

3. Adaptive projection plane and reference point strategy for multi-objective particle swarm optimization;Alexandria Engineering Journal;2024-10

4. A novel hybrid adaptive differential evolution for global optimization;Scientific Reports;2024-08-24

5. Multi-threshold image segmentation using a boosted whale optimization: case study of breast invasive ductal carcinomas;Cluster Computing;2024-08-07