Optimizing the controllability of arbitrary networks with genetic algorithm
type: Item
instance of: scholarly article
title: Optimizing the controllability of arbitrary networks with genetic algorithm
zbMATH Open document ID: 1400.93086
author: X.-F. Li
author: Zheming Lu
published in: Physica A
publication date: 2018-11-13T00:00:00Z
Mathematics Subject Classification ID: 93B51
Mathematics Subject Classification ID: 93A14
Mathematics Subject Classification ID: 93B05
zbMATH DE Number: 6977825
zbMATH Keywords: complex networks
zbMATH Keywords: controllability optimization
zbMATH Keywords: optimal topology
zbMATH Keywords: genetic algorithm
MaRDI profile type: Publication
full work available at URL: j.physa.2015.12.007
OpenAlex ID: W2197365409
cites work: Exploring complex networks
cites work: Statistical mechanics of complex networks
cites work: The Structure and Function of Complex Networks
cites work: Collective dynamics of ‘small-world’ networks
cites work: Emergence of Scaling in Random Networks
cites work: Complex networks: structure and dynamics
cites work: Dynamical Processes on Complex Networks
cites work: Q3579028
cites work: Pinning control of scale-free dynamical networks
cites work: Controllability of a Leader–Follower Dynamic Network With Switching Topology
cites work: Controllability of Multi-Agent Systems from a Graph-Theoretic Perspective
cites work: Studies on controllability of directed networks with extremal optimization
cites work: Mathematical Description of Linear Dynamical Systems
cites work: Q5614246
cites work: Structural controllability
cites work: An $n^{5/2} $ Algorithm for Maximum Matchings in Bipartite Graphs
cites work: Q4400449
cites work: Q5582663
cites work: Q3128877
cites work: Q5200684
cites work: On the strength of connectedness of a random graph
DOI: 10.1016/J.PHYSA.2015.12.007
description: scientific article; zbMATH DE number 6977825