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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Mitigate Cascading Failures on Networks using a Memetic Algorithm.

Xianglong Tang1, Jing Liu1, Xingxing Hao1

  • 1Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an 710071, China.

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|December 10, 2016
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Summary
This summary is machine-generated.

This study introduces a practical measure (Rcf) and a novel memetic algorithm (MA-Rcf) to improve network robustness against cascading failures. The new approach enhances network resilience more effectively than existing methods.

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Area of Science:

  • Network Science
  • Complex Systems Analysis
  • Computational Intelligence

Background:

  • Cascading failures in complex networks are a significant research area.
  • Existing theoretical models for network robustness often lack practical applicability.
  • Assessing damage solely based on node failures overlooks critical real-world dynamics.

Purpose of the Study:

  • To develop a practical metric for evaluating network robustness against cascading failures.
  • To propose an enhanced memetic algorithm (MA-Rcf) for improving network robustness.
  • To introduce a novel local search operator tailored for cascading failure characteristics.

Main Methods:

  • Designed a practical robustness measure, Rcf.
  • Developed a memetic algorithm (MA-Rcf) using Rcf as the objective function.
  • Implemented a new local search operator focusing on nodes with similar load probabilities.

Main Results:

  • The novel local search operator proved effective in enhancing network robustness.
  • MA-Rcf efficiently improved network resilience against cascading failures.
  • Experiments on synthetic and real-world networks demonstrated MA-Rcf's superior performance over existing algorithms.

Conclusions:

  • The proposed Rcf metric offers a practical approach to network robustness evaluation.
  • MA-Rcf is an efficient and effective algorithm for enhancing network resilience.
  • The new local search operator significantly contributes to improved performance in mitigating cascading failures.