IEEE

Grey Wolf Optimization Algorithm Based on Follow-Controlled Learning Strategy

Abstract: This paper analyzes the OBL strategy’s impact on optimizing the GWO algorithm and identifies three shortcomings. the specific limitations of the OBL optimization approach. To address these ...
Science Daily

Computational 'short cuts' offer fast answers to complex supply chain problems

Supply chain networks can be incredibly complex, with multiple manufacturing and distribution points -- and the location of each node in those networks has a significant effect on everything from ...
IEEE

Improved Hybrid Grey Wolf Optimization Algorithm Based on Dimension Learning-Based Hunting Search Strategy

Abstract: An improved hybrid grey wolf optimization algorithm (IHGWO) is proposed to solve the problem of population diversity, imbalance of exploration and development capabilities, and premature ...
Frontiers

Levy flight-improved grey wolf optimizer algorithm-based support vector regression model for dam deformation prediction

Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is ...
Frontiers

Grey Wolf Optimization–Based Deep Echo State Network for Time Series Prediction

The Echo State Network (ESN) is a unique type of recurrent neural network. It is built atop a reservoir, which is a sparse, random, and enormous hidden infrastructure. ESN has been successful in ...
Scientific Research Publishing

High Order Portfolio Optimization Problem with Transaction Costs ()

This paper studies a high order moments portfolio optimization model with transaction costs. The model takes kurtosis as objective function and takes the skewness, variance, mean and transaction costs ...