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Parallel hyperheuristic: a self-adaptive island-based model for multi-objective optimization

Published: 12 July 2008 Publication History

Abstract

This work presents a new parallel model for the solution of multi-objective optimization problems. The model combines a parallel island-based scheme with a hyperheuristic approach in order to raise the level of generality at which most current evolutionary algorithms operate. This way, a wider range of problems can be tackled since the strengths of one algorithm can compensate for the weaknesses of another. Computational results demonstrate that the model grants more computational resources to those algorithms that show a more promising behaviour.

References

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C. A. Coello, G. B. Lamont, and D. A. V. Veldhuizen. Evolutionary Algorithms for Solving Multi-Objective Problems. Genetic and Evolutionary Computation. 2007.]]
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K. Deb, S. Agrawal, A. Pratab, and T. Meyarivan. A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi--Objective Optimization: NSGA-II. In VI Conference on Parallel Problem Solving from Nature, volume 1917 of LNCS, pages 849--858. Springer, 2000.]]
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D. A. V. Veldhuizen, J. B. Zydallis, and G. B. Lamont. Considerations in engineering parallel multiobjective evolutionary algorithms. IEEE Trans. Evolutionary Computation, 7(2):144--173, 2003.]]
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E. Zitzler, K. Deb, and L. Thiele. Comparison of multiobjective evolutionary algorithms: Empirical results. Evolutionary Computation, 8(2):173--195, 2000.]]
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E. Zitzler, M. Laumanns, and L. Thiele. SPEA2: Improving the Strength Pareto Evolutionary Algorithm for Multiobjective Optimization. Evolutionary Methods for Design, Optimization and Control, pages 19--26, 2002.]]
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E. Zitzler and L. Thiele. An Evolutionary Algorithm for Multiobjective Optimization: The Strength Pareto Approach. Technical Report 43, Computer Engineering and Networks Laboratory, Zurich, Switzerland, 1998.]]
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E. Zitzler and L. Thiele. Multiobjective Optimization Using Evolutionary Algorithms -- A Comparative Case Study. In Parallel Problem Solving from Nature (PPSN-V), volume 1498, pages 292--301. Springer, 1998.]]

Cited By

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  • (2013)Parallel Single and Multiple Objectives Genetic AlgorithmsModeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation10.4018/978-1-4666-3628-6.ch006(73-110)Online publication date: 2013
  • (2011)Parallel Single and Multiple Objectives Genetic AlgorithmsInternational Journal of Applied Evolutionary Computation10.4018/jaec.20110401022:2(21-57)Online publication date: 1-Apr-2011
  • (2009)A memetic algorithm and a parallel hyperheuristic island-based model for a 2D packing problemProceedings of the 11th Annual conference on Genetic and evolutionary computation10.1145/1569901.1570085(1371-1378)Online publication date: 8-Jul-2009
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Published In

cover image ACM Conferences
GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation
July 2008
1814 pages
ISBN:9781605581309
DOI:10.1145/1389095
  • Conference Chair:
  • Conor Ryan,
  • Editor:
  • Maarten Keijzer
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2008

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Author Tags

  1. evolutionary algorithms
  2. hybrid algorithms
  3. hyperheuristics
  4. island-based models
  5. multi-objective optimization

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Cited By

View all
  • (2013)Parallel Single and Multiple Objectives Genetic AlgorithmsModeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation10.4018/978-1-4666-3628-6.ch006(73-110)Online publication date: 2013
  • (2011)Parallel Single and Multiple Objectives Genetic AlgorithmsInternational Journal of Applied Evolutionary Computation10.4018/jaec.20110401022:2(21-57)Online publication date: 1-Apr-2011
  • (2009)A memetic algorithm and a parallel hyperheuristic island-based model for a 2D packing problemProceedings of the 11th Annual conference on Genetic and evolutionary computation10.1145/1569901.1570085(1371-1378)Online publication date: 8-Jul-2009
  • (2009)Applications of Parallel Platforms and Models in Evolutionary Multi-Objective OptimizationBiologically-Inspired Optimisation Methods10.1007/978-3-642-01262-4_2(23-49)Online publication date: 2009

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