International audienceThe generation of network topologies with specific, user-specified statistical properties is addressed using an Evolutionary Algorithm that is seeded by an Artificial Gene Regulatory Network Model. The work presented here extends previous work where the proposed approach was demonstrated to be able to evolve scale-free topologies. The present results reinforce the applicability of the proposed method, showing that the evolution of small-world topologies is also possible, but requires a carefully crafted fitness function
<div><p>Design and implementation of robust network modules is essential for construction of complex...
Artificial gene regulatory networks (GRNs) are biologically inspired dynamical systems used to contr...
Random Boolean networks have been used widely to explore aspects of gene regulatory networks. As the...
International audienceThe generation of network topologies with specific, user-specified statistical...
International audienceA novel approach to generating scale-free network topologies is introduced, ba...
International audienceA novel approach to generating scale-free network topologies is introduced, ba...
Topological measures of large-scale complex networks are applied to a specific artificial regulatory...
Artificial gene regulatory networks (GRNs) are biologically inspired dynamical systems used to contr...
Artificial gene regulatory networks (GRNs) are biologically inspired dynamical systems used to contr...
This paper presents an abstract, tunable model by which to explore aspects of artificial genetic reg...
International audienceRegulatory networks are not randomly connected. They are modular, scale-free n...
<div><p>Design and implementation of robust network modules is essential for construction of complex...
Artificial gene regulatory networks (GRNs) are biologically inspired dynamical systems used to contr...
Random Boolean networks have been used widely to explore aspects of gene regulatory networks. As the...
International audienceThe generation of network topologies with specific, user-specified statistical...
International audienceA novel approach to generating scale-free network topologies is introduced, ba...
International audienceA novel approach to generating scale-free network topologies is introduced, ba...
Topological measures of large-scale complex networks are applied to a specific artificial regulatory...
Artificial gene regulatory networks (GRNs) are biologically inspired dynamical systems used to contr...
Artificial gene regulatory networks (GRNs) are biologically inspired dynamical systems used to contr...
This paper presents an abstract, tunable model by which to explore aspects of artificial genetic reg...
International audienceRegulatory networks are not randomly connected. They are modular, scale-free n...
<div><p>Design and implementation of robust network modules is essential for construction of complex...
Artificial gene regulatory networks (GRNs) are biologically inspired dynamical systems used to contr...
Random Boolean networks have been used widely to explore aspects of gene regulatory networks. As the...