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Web newspaper layout optimization using simulated annealing.

J Gonzalez1, I Rojas, H Pomares

  • 1Dept. of Comput. Archit. & Comput. Technol., Granada Univ., Spain.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|February 5, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a simulated annealing approach to solve the Web newspaper pagination problem, optimizing article layout for real-time adaptation to user browsers. The method effectively handles diverse article widths in a column-based format.

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Area of Science:

  • Computer Science
  • Web Development
  • Optimization Algorithms

Background:

  • The Web newspaper pagination problem involves organizing multiple articles into a column layout for user display.
  • Existing methods struggle with real-time adaptation to diverse browser configurations and varying article widths.

Purpose of the Study:

  • To develop an on-line algorithm for optimizing Web newspaper pagination.
  • To adapt article layout dynamically to client browser specifications.
  • To accommodate articles of differing widths within the optimized layout.

Main Methods:

  • Utilized simulated annealing (SA), a metaheuristic optimization technique.
  • Developed an on-line algorithm capable of real-time adjustments.
  • Implemented support for articles with variable widths.

Main Results:

  • The simulated annealing approach effectively solves the Web newspaper pagination problem.
  • The system dynamically adapts the layout to the client's browser configuration.
  • Variable article widths are successfully managed within the column-based layout.

Conclusions:

  • Simulated annealing provides an effective solution for the dynamic Web newspaper pagination problem.
  • The proposed method enhances user experience by adapting content layout in real-time.
  • The approach is robust in handling diverse article dimensions and browser settings.