Entropy-Driven Global Best Selection in Particle Swarm Optimization for Many-Objective Software Package Restructuring
Many real-world optimization problems usually require a large number of conflicting objectives to be optimized simultaneously to obtain solution. It has been observed that these kinds of many-objective optimization problems (MaOPs) often pose several performance challenges to the traditional multi-o...
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| Main Authors: | Amarjeet Prajapati, Anshu Parashar, null Sunita, Alok Mishra |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/3974635 |
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