A Novel Exploration Stage Approach to Improve Crayfish Optimization Algorithm: Solution to Real-World Engineering Design Problems
The Crayfish Optimization Algorithm (COA) has limitations that affect its optimization performance seriously. The competition stage of the COA uses a simplified mathematical model that concentrates on relations of distance between crayfish only. It is deprived of a stochastic variable and is not abl...
Saved in:
| Main Author: | Harun Gezici |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Biomimetics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-7673/10/6/411 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Crayfish optimization based pixel selection using block scrambling based encryption for secure cloud computing environment
by: Vikas K. Soman, et al.
Published: (2025-01-01) -
A New Bipolar Approach Based on the Rooster Algorithm Developed for Utilization in Optimization Problems
by: Mashar Cenk Gençal
Published: (2025-04-01) -
A new index‐based hyper‐heuristic algorithm for global optimisation problems
by: Mohammad Reza Hasanzadeh, et al.
Published: (2022-10-01) -
Proposing an Improved Version of the Bat Algorithm
by: Davar Giveki, et al.
Published: (2024-12-01) -
Preparation of enzymatic hydrolysate from crayfish shells and its application in the processing of crayfish whole balls
by: YANG Qi-fu, et al.
Published: (2023-06-01)