Dynamic Switched Crowding and New Multiobjective DSC-MOAGDE
版本 1.0.8 (10.5 KB) 作者:
Hamdi Tolga KAHRAMAN
Unified Space Approach-based Dynamic Switched Crowding (DSC): A New Method for Designing Pareto-based Multi/Many-Objective Algorithms
DSC (Dynamic Switched Crowding)- is based on a new theory developed for the design of multi-objective optimization algorithms. DSC-MOAGDE is the first algorithm designed based on this theory. Three powerful versions of DSC-MOAGDE have been designed specifically for Real World Engineering Optimization Problems. DSC-MOAGDE can effectively find the Pareto-optimal solution set for Real World Engineering Design Problems where objective functions are in conflict.
------------------------------------------------------------------------------------------------------------------------------------------
The first implementation of DSC-based archive handling method is the DSC-MOAGDE
1) DSC-MOAGDE :
Unified space approach-based Dynamic Switched Crowding (DSC): A new method for designing Pareto-based multi/many-objective algorithms
------------------------------------------------------------------------------------------------------------------------------------------
The second implementation of DSC-based archive handling method is the DSC-MOSOS
2) DSC-MOSOS:
Combined heat and power economic emission dispatch using dynamic switched crowding based multi-objective symbiotic organism search algorithm
------------------------------------------------------------------------------------------------------------------------------------------
Dear researchers, please check this link to learn milestone methods for the design of meta-heuristic optimization algorithms and to review competitive and state-of-the-art optimization algorithms.
引用格式
KAHRAMAN, H. T., AKBEL, M., DUMAN, S., KATI, M., SAYAN, H. H. (2022). Unified Space Approach-based Dynamic Switched Crowding (DSC): A New Method for Designing Pareto-based Multi/Many-Objective Algorithms, Swarm and Evolutionary Computation, 101196, https://doi.org/10.1016/j.swevo.2022.101196
MATLAB 版本兼容性
创建方式
R2022b
兼容任何版本
平台兼容性
Windows macOS Linux标签
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!