Swarm Intelligent Approaches for Solving Shortest Path Problems with Multiple Objectives

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 801)

Abstract

Finding shortest path considering multiple objectives is a widely studied graph problem which yields multiple optimal paths called the pareto optimal path set by applying dominance principle. Literature reveals that solving such problems within polynomial time is difficult even for smaller instances using traditional algorithms. This study investigates the convergence of swarm intelligent algorithms and compares them with performance metrics such as the pareto coverage, divergence rate, convergence time and cost for different sample networks.

Keywords

Ant colony optimization Multi-objective shortest path problem Bee colony optimization Firefly algorithm Swarm intelligence Pareto optimal front Non-dominated set 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.National Institute of Industrial EngineeringMumbaiIndia
  2. 2.College of Engineering GuindyAnna UniversityChennaiIndia

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