Comparison of optimal shape design algorithms:: Tabu search and simulated annealing

被引：0
|
作者：
Morinigo, Daniel [1 ]
Duque, Oscar [1 ]
Rodriguez, M. Angeles [1 ]
Vazquez, Vanesa [1 ]
机构：
[1] Univ Valladolid, Dept Elect Engn, Valladolid, Spain
来源：
Circuits and Systems for Signal Processing , Information and Communication Technologies, and Power Sources and Systems, Vol 1 and 2, Proceedings | 2006年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Design of electric devices must fulfill more and more requirements for device performances and parameters. A good design may require an analysis of the electromagnetic field distribution. The combined use of simulation tools along with optimization algorithms, deterministic or stochastic, can provide good design solutions at a reduced cost. The comparison of two widely used heuristic optimization algorithms is presented in this paper. Tabu Search and Simulated Annealing are used to solve a classical and simple optimization test problem.
引用
收藏
页码：1170 / 1173
页数：4
相关论文
共 50 条
  • [1] Optimal Design of Sewer Network by Tabu Search and Simulated Annealing
    Yeh, S-F.
    Chang, Y-J.
    Lin, M-D.
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM 2013), 2013, : 1636 - 1640
  • [2] Applying tabu search and simulated annealing to the optimal design of sewer networks
    Yeh, Shung-Fu
    Chu, Chien-Wei
    Chang, Yao-Jen
    Lin, Min-Der
    [J]. ENGINEERING OPTIMIZATION, 2011, 43 (02) : 159 - 174
  • [3] An empirical comparison of Tabu Search, Simulated Annealing, and Genetic Algorithms for facilities location problems
    Arostegui, Marvin A., Jr.
    Kadipasaoglu, Sukran N.
    Khumawala, Basheer M.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2006, 103 (02) : 742 - 754
  • [4] Evolutionary algorithms, Simulated Annealing, and Tabu Search: A comparative study
    Youssef, H
    Sait, SM
    Adiche, H
    [J]. APPLICATIONS AND SCIENCE OF NEURAL NETWORKS, FUZZY SYSTEMS, AND EVOLUTIONARY COMPUTATION, 1998, 3455 : 94 - 105
  • [5] Evolutionary algorithms, simulated annealing and tabu search: a comparative study
    Youssef, H
    Sait, SM
    Adiche, H
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2001, 14 (02) : 167 - 181
  • [6] Hybrid search for genetic algorithms. Combining genetic algorithms, TABU search, and simulated annealing
    Kido, Takashi
    Kitano, Hiroaki
    Nakanishi, Masakuzo
    [J]. Australian Electronics Engineering, 1994, 27 (02):
  • [7] Genetic algorithms, simulated annealing and tabu search for lossless data compression
    Socha, J
    [J]. ICAI '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 AND 2, 2005, : 378 - 384
  • [8] The optimization of number of kanbans with genetic algorithms, simulated annealing and tabu search
    Alabas, C
    Altiparmak, F
    Dengiz, B
    [J]. PROCEEDINGS OF THE 2000 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2000, : 580 - 585
  • [9] Genetic, Simulated Annealing and Tabu Search algorithms: Three heuristic methods for optimal reconfiguration and compensation of distribution networks
    Augugliaro, A
    Dusonchet, L
    Sanseverino, ER
    [J]. EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 1999, 9 (01): : 35 - 41
  • [10] Benchmarking of optimisation techniques based on genetic algorithms, tabu search and simulated annealing
    Lau, H.
    Ho, G.
    Cheng, E.
    Ning, A.
    Lee, C.
    [J]. INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2007, 28 (2-3) : 209 - 219
12345