Distributed Contribution-Based Quantum-Behaved Particle Swarm Optimization With Controlled Diversity for Large-Scale Global Optimization Problems
Many cooperative coevolution optimization algorithms have been proposed recently for solving large-scale global optimization problems. These algorithms first decompose a large-scale global optimization problem into several subproblems, each with a specific number of decision variables, and then opti...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8851205/ |