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 ...
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 ...
Scientific Research Publishing

Multi-Strategy-Driven Salp Swarm Algorithm for Global Optimization ()

In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.
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 ...
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 ...