The effect of different stopping criteria on multi-objective optimization algorithms
Evolutionary multi-objective optimization (EMO) refers to the domain in which an evolutionary algorithm is applied to tackle an optimization problem with multiple objective functions. The literature is rich with many approaches proposed to solve multi-objective problems including the NSGA-II, MOEA/D...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , |
| منشور في: |
2021
|
| الوصول للمادة أونلاين: | https://dspace.auk.edu.kw/handle/11675/8230 https://link.springer.com/article/10.1007/s00521-021-05805-1 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|