Introduction and comparison of three evolutionary-based intelligent algorithms for optimal design

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Engineering design studies can often be cast in terms of optimization problems. However, for such an approach to be worthwhile, designers must be content that the optimization approaches employed is fast convergence. Usefulness of heuristic algorithm as the search method for diverse optimization problems is examined. Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed to arrive at near-optimum solutions to large-scale optimization problems, for which traditional mathematical techniques may fail. This paper compares the formulation and results of three evolutionary-based algorithms: genetic algorithm, clonal selection algorithm and particle swarm optimization. A brief description of each algorithm is presented. Benchmark comparisons among these algorithms are presented optimization problems, in terms of processing time, convergence speed, and quality of the results. The simulation results show that compared with genetic algorithm and clonal selection algorithm, the proposed particle swarm optimization based algorithm can improve the quality of the solution while speeding up the convergence process. Three words can summarize the main features of the proposed approach: faster, cheaper, and simpler.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008
Pages879-884
Number of pages6
DOIs
Publication statusPublished - 2008 Dec 29
Event3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008 - Busan, Korea, Republic of
Duration: 2008 Nov 112008 Nov 13

Publication series

NameProceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008
Volume2

Other

Other3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008
CountryKorea, Republic of
CityBusan
Period08-11-1108-11-13

Fingerprint

Particle swarm optimization (PSO)
Genetic algorithms
Heuristic algorithms
Optimal design
Evolutionary algorithms
Processing

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Software

Cite this

Shyr, W. J. (2008). Introduction and comparison of three evolutionary-based intelligent algorithms for optimal design. In Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008 (pp. 879-884). [4682357] (Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008; Vol. 2). https://doi.org/10.1109/ICCIT.2008.76
Shyr, Wen Jye. / Introduction and comparison of three evolutionary-based intelligent algorithms for optimal design. Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008. 2008. pp. 879-884 (Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008).
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Shyr, WJ 2008, Introduction and comparison of three evolutionary-based intelligent algorithms for optimal design. in Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008., 4682357, Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008, vol. 2, pp. 879-884, 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008, Busan, Korea, Republic of, 08-11-11. https://doi.org/10.1109/ICCIT.2008.76

Introduction and comparison of three evolutionary-based intelligent algorithms for optimal design. / Shyr, Wen Jye.

Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008. 2008. p. 879-884 4682357 (Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008; Vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Shyr WJ. Introduction and comparison of three evolutionary-based intelligent algorithms for optimal design. In Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008. 2008. p. 879-884. 4682357. (Proceedings - 3rd International Conference on Convergence and Hybrid Information Technology, ICCIT 2008). https://doi.org/10.1109/ICCIT.2008.76