Skip to main content

Simulation-Based Fitness Landscape Analysis and Optimisation for Vehicle Scheduling Problem

  • Conference paper
Computer Aided Systems Theory – EUROCAST 2011 (EUROCAST 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6927))

Included in the following conference series:

Abstract

The paper presents simulation optimisation methodology and tools for the vehicle scheduling problem (VSP) with time windows. The optimisation problem statement is given. The fitness landscape analysis is used to evaluate the hardness of the problem. The tool for fitness landscape analysis is build up. To evaluate fitness of solutions the vehicle schedule simulation model in AnyLogic 6 is developed, and Java applications generate landscape path solutions and analyse their fitness series. A genetic algorithm is applied for simulation-based vehicle schedule optimisation. The results of the experimental study are described.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Merkuryeva, G., Bolshakovs, V.: Vehicle Schedule Simulation with AnyLogic. In: Proc. of 12th Intl. Conf. on Computer Modelling and Simulation, pp. 169–174 (2010)

    Google Scholar 

  2. Eiiyi, D.T., Ornek, A., Karakutuk, S.S.: A Vehicle Scheduling Problem with Fixed Trips and Time Limitations. International Journal of Production Economics 117(1), 150–161 (2008)

    Article  Google Scholar 

  3. Jones, T.: Evolutionary Algorithms, Fitness Landscapes and Search. Ph.D. thesis, University of New Mexico, Albuquerque (1995)

    Google Scholar 

  4. Weinberger, E.: Correlated and Uncorrelated Landscapes and How to Tell The Difference. Biological Cybernetics 63(5), 325–336 (1990)

    Article  MATH  Google Scholar 

  5. Vassilev, V.K., Fogarty, T.C., Miller, J.F.: Information Characteristics and the Structure of Landscapes. Evolutionary Computation 8(1), 31–60 (2000)

    Article  Google Scholar 

  6. Ackley, D.: An Empirical Study of Bit Vector Function Optimization. Genetic Algorithms and Simulated Annealing 170–215 (1987)

    Google Scholar 

  7. Merkuryeva G., Bolshakovs V.: Comparative Analysis of Statistical and Information Measures for Benchmark Fitness Landscapes. In: Proc. of the UkSIM Fourth European Modelling Symposium on Computer Modelling and Simulation, pp. 96–101 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Merkuryeva, G., Bolshakov, V. (2012). Simulation-Based Fitness Landscape Analysis and Optimisation for Vehicle Scheduling Problem. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6927. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27549-4_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27549-4_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27548-7

  • Online ISBN: 978-3-642-27549-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics