activity
20192022
collaborators

5 papers

math.OC2022

A theoretical framework and some promising findings of grey wolf optimizer, part II: global convergence analysis

Haoxin Wang, Libao Shi

This paper proposes a theoretical framework of the grey wolf optimizer (GWO) based on several interesting theoretical findings, involving sampling distribution, order-1 and order-2…

math.OC2022

A theoretical framework and some promising findings of grey wolf optimizer, part I: analytical model of sampling distribution and stability analysis

Haoxin Wang, Libao Shi

This paper proposes a theoretical framework of the grey wolf optimizer (GWO) based on several interesting theoretical findings, involving sampling distribution, order-1 and order-2…

math.OC2021

A Bare Bones Grey Wolf Optimizer for Global Numerical Optimization

Haoxin Wang, Libao Shi

In order to better understand and analyze the currently widely used population-based metaheuristic optimization algorithms, , this paper proposes a novel computational intelligence…

eess.SY2020

A Solution Strategy to the Unit Commitment Problem Incorporating Manifold Uncertainties

Fang Zhai, Libao Shi

The widespread uncertainties have made the interaction between wind power and power grid more complicated and difficult to model and handle. This paper proposes an approach for the…

eess.SY2019

An Analytical Probabilistic Expression for Modeling Sum of Spatial-dependent Wind Power Output

Libao Shi, Yang Pan, Yixin Ni

Applying probability-related knowledge to accurately explore and exploit the inherent uncertainty of wind power output is one of the key issues that need to be solved urgently in t…