GEM: A novel evolutionary optimization method with improved neighborhood search

Applied Mathematics and Computation

Volumn 210, Issue 2, 2009, Pages 376-386

  Ahrari, A ^a   Shariat Panahi, M ^a   Atai, A A ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Agent's territory; Evolutionary algorithms; Guided random search; Multimodal functions; Multiple global minima; Optimal search direction; Stochastic optimization methods

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; ELECTRON MULTIPLIERS; EXPLOSIVES; GEMS; IMAGE RETRIEVAL; OPTIMIZATION; RANDOM PROCESSES;

GUIDED RANDOM SEARCH; MULTIMODAL FUNCTIONS; MULTIPLE GLOBAL MINIMA; OPTIMAL SEARCH DIRECTION; STOCHASTIC OPTIMIZATION METHODS;

EVOLUTIONARY ALGORITHMS;

EID: 62949125040     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2009.01.009     Document Type: Article

References (22)

1. Ombach J. Stability of evolutionary algorithms. J. Math. Anal. 342 (2008) 326-333
2. I.J. Dotu, J. Garcia, A. Berlanga, J.M. Molina, A meta-level evolutionary strategy for many-criteria design: application to improving tracking filters, Adv. Eng. Inf., doi:10.1016/j.aei.2008.08.001.
3. Aryanezhad M.B., and Hemati M. A new genetic algorithm for solving nonconvex nonlinear programming problems. Appl. Math. Comput. 199 (2008) 186-194
4. Wu Z., Ding G., Wang K., and Fukaya M. Application of a genetic algorithm to optimize the refrigerant circuit of fin-and-tube heat exchangers for maximum heat transfer or shortest tube. Int. J. Therm. Sci. 47 (2008) 985-997
5. Goncalves J.F., Mendes J.J.M., and Resende M.G.C. A genetic algorithm for the resource constrained multi-project scheduling problem. Eur. J. Oper. Res. 189 (2008) 1171-1190
6. Wu T.H., Chang C.C., and Chung A.H. A simulated annealing algorithm for manufacturing cell formation problems. Expert Syst. Appl. 34 (2008) 1609-1617
7. Suresh S., Sujit P.B., and Rao A.K. Particle swarm optimization approach for multi-objective composite-beam design. Compos. Struct. 81 (2007) 598-605
8. Trelea I.C. The particle swarm optimization algorithm: convergence analysis and parameter selection. Inf. Process. Lett. 85 (2003) 317-325
9. Liao W.H., Kao Y., and Fan C.M. Data aggregation in wireless sensor networks using ant colony algorithm. J. Network Comput. Appl. 31 (2008) 387-401
10. Hashemi S.M., Moradi A., and Rezapour M. An ACO algorithm to design UMTS access network using divided and conquer techniques. Eng. Appl. Artif. Intell. 21 (2008) 931-940
11. Karaboga D., and Basturk B. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J. Global Optim. 39 (2007) 459-471
12. D.T. Pham, A. Ghanbarzade, E. Koc, S. Otri, S. Rahim, M. Zaidi, The bees algorithm - a novel tool for complex optimization problems, in: IPROMS 2006, Cardiff-England, pp. 454-461.
13. Karaboga D., and Basturk B. On the performance of artificial bee colony (ABC) algorithm. Appl. Soft Comput. 8 (2008) 687-697
14. Salhi S., and Queen N.M. A hybrid algorithm for identifying global and local minima when optimizing functions with many local minima. Eur. J. Oper. Res. 155 (2004) 51-67
15. Rodriguez-Tello E., Hao J.K., and Torres-Jimenez J. An improved simulated annealing algorithm for bandwidth minimization. Eur. J. Oper. Res. 185 (2008) 1319-1335
16. Stutzle T. Iterated local search for the quadratic assignment problem. Eur. J. Oper. Res. 174 (2006) 1519-1539
17. Devroye L. Non-uniform Random Variate Generation (1986), Springer-Verlag, New-York
18. K.Y. Chan, C.K. Kwong, X.G. Juo, Improved orthogonal array based simulated annealing for design optimization, Exp. Syst. Appl., doi:10.1016/j.eswa.2008.09.022.
19. Tsoulos I.G. Modification of real code genetic algorithm for global optimization. Appl. Math. Comput. 203 (2008) 598-607
20. Bellman R. Adaptive Control Processes: A Guided Random Tour (1961), Princeton University Press, New Jersey
21. Mulero-Martinez J.I. Functions bandlimited in frequency are free of the curse of dimensionality. Neurocomputing 70 (2007) 1439-1452
22. Heiss F., and Winschel V. Likelihood approximation by numerical integration on sparse grids. J. Econom. 144 (2008) 62-80