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Bi-objective Ring Star Problem: Metaheuristics & Hybridization.pdf

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Preview of Bi-objective Ring Star Problem: Metaheuristics & Hybridization
🔗 Source: inria.hal.science
📊 Size: 746 KB
👤 Author: Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi
⬇️ Downloads: 30

Summary

The problem consists of locating a simple cycle through a subset of nodes of a graph while optimizing two kinds of cost. The first objective is the minimization of a ring cost related to the length of the cycle. The second one is the minimization of an assignment cost from non-visited nodes to visited ones. In spite of its obvious bi-objective formulation, this problem has always been investigated in a single-objective way. To tackle the bi-objective ring star problem, different standalone search methods are investigated. Then, two cooperative strategies that combine two multiple objective metaheuristics are proposed: an elitist evolutionary algorithm and a population-based local search. These hybrid approaches are applied to well-known benchmark test instances and demonstrate their effectiveness in comparison to non-hybrid algorithms and to state-of-the-art methods. The study focuses on multi-objective combinatorial optimization, evolutionary algorithms, local exploration, hybrid approaches, and routing.

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Description

HAL archive hosts 'Metaheuristics and Their Hybridization to Solve the Bi-objective Ring Star Problem: a Comparative Study' by Liefooghe et al. (2008).

Technical Information

  • File Format: PDF
  • File Size: 746 KB
  • Pages: 49
  • Language: EN
  • Author: Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi
  • Total Downloads: 30
  • Last Updated: 6 days ago

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