A nonrevisiting genetic algorithm based on multi-region guided search strategy
Abstract Recently, nonrevisiting genetic algorithms have demonstrated superior capabilities compared with classic genetic algorithms and other single-objective evolutionary algorithms. However, the search efficiency of nonrevisiting genetic algorithms is currently low for some complex optimisation p...
Saved in:
Main Authors: | Qijun Wang, Chunxin Sang, Haiping Ma, Chao Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2024-11-01
|
Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-024-01627-5 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Splaying a search tree in preorder takes linear time
by: R. Chaudhuri, et al.
Published: (1991-01-01) -
OPTIMIZATION OF TURNING PARAMETERS USING AN ALGORTIM BASED ON COMBINED LINEAR AND BINARY SEARCH METHODS
by: DAN GEORGE PRUTICA, et al.
Published: (2020-03-01) -
Virtual network embedding algorithm based on consultant guided search
by: Wentan LIU, et al.
Published: (2020-06-01) -
Genetic algorithm-tabu search for mobile agents measurement scheduling in wireless sensor networks
by: WANG Sheng, et al.
Published: (2008-01-01) -
A Hybrid Genetic Algorithm with Tabu Search Using a Layered Process for High-Order QAM in MIMO Detection
by: Taehyoung Kim, et al.
Published: (2024-12-01)