An improved particle swarm optimization algorithm with adaptive inertia weights
M Li, H Chen, X Wang, N Zhong, S Lu - International Journal of …, 2019 - World Scientific
The particle swarm optimization (PSO) algorithm is simple to implement and converges
quickly, but it easily falls into a local optimum; on the one hand, it lacks the ability to balance …
quickly, but it easily falls into a local optimum; on the one hand, it lacks the ability to balance …
An Improved Particle Swarm Optimization Algorithm with Adaptive Inertia Weights
M Li, H Chen, X Wang, N Zhong, S Lu - International Journal of …, 2019 - ideas.repec.org
The particle swarm optimization (PSO) algorithm is simple to implement and converges
quickly, but it easily falls into a local optimum; on the one hand, it lacks the ability to balance …
quickly, but it easily falls into a local optimum; on the one hand, it lacks the ability to balance …
An Improved Particle Swarm Optimization Algorithm with Adaptive Inertia Weights.
M Li, H Chen, X Wang, S Lu… - International Journal of …, 2019 - search.ebscohost.com
The particle swarm optimization (PSO) algorithm is simple to implement and converges
quickly, but it easily falls into a local optimum; on the one hand, it lacks the ability to balance …
quickly, but it easily falls into a local optimum; on the one hand, it lacks the ability to balance …
An Improved Particle Swarm Optimization Algorithm with Adaptive Inertia Weights
M Li, H Chen, X Wang, N Zhong… - International Journal of …, 2019 - econpapers.repec.org
The particle swarm optimization (PSO) algorithm is simple to implement and converges
quickly, but it easily falls into a local optimum; on the one hand, it lacks the ability to balance …
quickly, but it easily falls into a local optimum; on the one hand, it lacks the ability to balance …