Optimal Allocation of Node Capacity in Cascade-Robustness Networks.
The robustness of large scale critical infrastructures, which can be modeled as complex networks, is of great significance. One of the most important means to enhance robustness is to optimize the allocation of resources. Traditional allocation of resources is mainly based on the topology information, which is neither realistic nor systematic. In this paper, we try to build a framework for searching for the most favorable pattern of node capacity allocation to reduce the vulnerability to cascading failures at a low cost. A nonlinear and multi-objective optimization model is proposed and tackled using a particle swarm optimization algorithm (PSO). It is found that the network becomes more robust and economical when less capacity is left on the heavily loaded nodes and the optimized network performs better resisting noise. Our work is helpful in designing a robust economical network.
School of Electronic and Information Engineering, Beihang University, Beijing 100191, People's Republic of China; Beijing Key Laboratory for Network-based Cooperative Air Traffic Management, Beijing 100191, People's Republic of China.
Zhen
Z
Chen
School of Electronic and Information Engineering, Beihang University, Beijing 100191, People's Republic of China; Beijing Key Laboratory for Network-based Cooperative Air Traffic Management, Beijing 100191, People's Republic of China.
Jun
J
Zhang
School of Electronic and Information Engineering, Beihang University, Beijing 100191, People's Republic of China; Beijing Key Laboratory for Network-based Cooperative Air Traffic Management, Beijing 100191, People's Republic of China; School of Engineering & IT, University of New South Wales at the Australian Defence Force Academy, Canberra, Australia.
Wen-Bo
WB
Du
Universitat Politècnica de Catalunya-BarcelonaTech, C/Colom no. 11, Terrassa 08222, Spain.
Oriol
O
Lordan
School of Engineering & IT, University of New South Wales at the Australian Defence Force Academy, Canberra, Australia.
Jiangjun
J
Tang
D000465:Algorithms; D003198:Computer Simulation; D003362:Cost-Benefit Analysis; D006801:Humans; D017059:Models, Econometric; D015233:Models, Statistical; D059629:Signal-To-Noise Ratio