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An optimization procedure for enhancing network robustness against cascading failures
Tran H.A.Q.a, Namatame A.a, Widyotriatmo A.b, Joelianto E.b
a Dept. of Computer Science, National Defense Academy of Japan, Yokosuka, Kanagawa, Japan
b Faculty of Industrial Technology, Institut Teknologi Bandung, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2014 IEEE.Complex network theory has recently been used as a framework to describe the behavior of several networks in nature including physical, chemical, biological, technological and social networks. Some of those, such as electric power grids, transportation systems, communication networks, and others, must maintain their stability even after several failures, or targeted attacks. In this paper, we study network vulnerability in terms of cascading breakdown and outline an optimization procedure to enhance network robustness. We propose a rewiring method using simulated annealing algorithm to increase the robustness of a given network while keeping its property unchanged. Analyzing optimized networks in several aspects, simulation results showed that community structure and core-periphery structure may have a negative effect to the robustness of a network while homogeneous load distribution may improve network performance.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Community structures,Electric power grids,Network robustness,Network vulnerability,Optimization procedures,rewiring,Simulated annealing algorithms,Transportation system[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]network robustness,rewiring,simulated annealing[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/CISDA.2014.7035645[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]