Results 191 to 200 of about 13,578 (255)

Grey Wolf Optimizer with Behavior Considerations and Dimensional Learning in Three-Dimensional Tooth Model Reconstruction. [PDF]

Bioengineering (Basel)
Wongkhuenkaew R, Auephanwiriyakul S, Chaiworawitkul M, Theera-Umpon N, Yeesarapat U.   +4 more
europepmc   +1 more source

Exploring the potential of 5G uplink communication: Synergistic integration of joint power control, user grouping, and multi-learning Grey Wolf Optimizer. [PDF]

Sci Rep
Sikkanan S, Kumar C, Manoharan P, Ravichandran S.   +3 more
europepmc   +1 more source

Different type of pay later facility for green product with selling price dependent demand using grey wolf optimizer. [PDF]

Heliyon
Alrasheedi AF.
europepmc   +1 more source

Improvised grey wolf optimizer assisted artificial neural network (IGWO-ANN) predictive models to accurately predict the permeate flux of desalination plants. [PDF]

Heliyon
Mahadeva R, Kumar M, Diwan A, Manik G, Dixit S, Das G, Gupta V, Sharma A.   +7 more
europepmc   +1 more source

Novel grey wolf optimizer based parameters selection for GARCH and ARIMA models for stock price prediction. [PDF]

PeerJ Comput Sci
Bagalkot SS, A DH, Naik N.
europepmc   +1 more source

Author Correction: Augmented weighted K-means grey wolf optimizer: An enhanced metaheuristic algorithm for data clustering problems. [PDF]

Sci Rep
Premkumar M, Sinha G, Ramasamy MD, Sahu S, Subramanyam CB, Sowmya R, Abualigah L, Derebew B.   +7 more
europepmc   +1 more source

Chaotic opposition learning with mirror reflection and worst individual disturbance grey wolf optimizer for continuous global numerical optimization. [PDF]

Sci Rep
Adegboye OR, Feda AK, Ojekemi OS, Agyekum EB, Hussien AG, Kamel S.   +5 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Grey wolf optimizer with cellular topological structure

Expert Systems With Applications, 2018
Abstract Grey wolf optimizer (GWO) is a newly developed metaheuristic inspired by hunting mechanism of grey wolves. The paramount challenge in GWO is that it is prone to stagnation in local optima. This paper proposes a cellular grey wolf optimizer with a topological structure (CGWO). The proposed CGWO has two characteristics.
Liang Gao, Jin Yi
exaly   +2 more sources

A novel Random Walk Grey Wolf Optimizer

Swarm and Evolutionary Computation, 2019
Abstract Grey Wolf Optimizer (GWO) algorithm is a relatively new algorithm in the field of swarm intelligence for solving continuous optimization problems as well as real world optimization problems. The Grey Wolf Optimizer is the only algorithm in the category of swam intelligence which is based on leadership hierarchy.
Shubham Gupta, Kusum Deep
exaly   +2 more sources