A hybrid ant colony optimization approach based local search scheme for multiobjective design optimizations

Electric Power Systems Research

Volumn 81, Issue 4, 2011, Pages 1014-1023

  Mousa, A A ^a,b   Abd El Wahed, Waiel F ^c   Rizk Allah, R M ^a  

^a Menoufia University   (Egypt)

^b TAIF UNIVERSITY   (Saudi Arabia)

^c MENOUFIA UNIVERSITY   (Egypt)

Author keywords

Ant colony optimization; Design; Local search approach; Multiobjective optimization; Multipheromone; Steady state genetic algorithm

Indexed keywords

ANT-COLONY OPTIMIZATION; LOCAL SEARCH APPROACH; MULTI OBJECTIVE; MULTIPHEROMONE; STEADY-STATE GENETIC ALGORITHMS;

ARTIFICIAL INTELLIGENCE; DESIGN; GENETIC ALGORITHMS;

MULTIOBJECTIVE OPTIMIZATION;

EID: 79551688791     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2010.12.005     Document Type: Article

References (25)

1. I. Alaya, C. Solnon, and K. Ghedira Ant colony optimization for multi-objective optimization problems Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 01 2007 450 457
2. S.L. Avila, A.C. Lisboa, and L. Krahenbuhl Sensitivity analysis applied to decision making in multiobjective evolutionary optimization IEEE Trans. Magn. 42 2006 1103 1106
3. U. Baumgartner, C. Magele, and W. Renhart Pareto optimality and particle swarm optimization IEEE Trans. Magn. 40 2004 1172 1175
4. S.K. Chaharsooghi, H. Amir, and Meimand Kermani An effective ant colony optimization algorithm (ACO) for multi-objective resource allocation problem (MORAP) Applied Mathematics and Computation 200 June (1) 2008 167 177
5. A.D. Deshpande, J.R. Rinderle, 2001, Linear Electric Drive for UMM, Technical Report, Department of Mechanical and Industrial Engineering, University of Massachusetts, Amherst.
6. A.D. Deshpande, 2002, California Linear Drives, Inc., www.calinear.com, 2000 A Study Of Methods To Identify Constraint Dominance In Engineering Design Problems, M.S. Thesis, Mechanical and Industrial Engineering Department, University of Massachusetts, Amherst.
7. P. Di Barba, M. Farina, and A. Savini An improved technique for enhancing diversity in Pareto evolutionary optimization of electromagnetic devices COMPEL 20 2001 482 496
8. K. Doerner, W.J. Gutjahr, R.F. Hartl, C. Strauss, and C. Stummer Pareto ant colony optimization: a metaheuristic approach to multiobjective portfolio selection Annals of Operations Research 131 1-4 2004 79 99
9. M. Dorigo, V. Maniezzo, and A. Colorni The ant system: optimization by a colony of cooperating agents IEEE Transactions on Systems, Man, and Cybernetics - Part B 26 1 1996 29 41
10. M. Dorigo, and T. Stutzle The ant colony optimization metaheuristic: algorithms, applications and advances F. Glover, G.A. Kochenberger, Handbook of Metaheuristics 2003 Kluwer 251 258
11. M. Dorigo, G. Di Caro, Luca Maria, and Gambardella Ant algorithms for discrete optimization Artificial Life 5 2 1999 137 172
12. J.F. Gieras, and Z.J. Pieck Linear Synchronous Motors: Transportation and Automation Systems 1999 CRC Press
13. M. Gravel, W.L. Price, and C. Gagne Scheduling continuous casting of aluminium using a multiple objective ant colony optimization metaheuristic European Journal of Operational Research 143 1 2002 218 229
14. S. Häckel, M. Fischer, D. Zechel, and T. Teich A multi-objective ant colony approach for pareto-optimization using dynamic programming Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation Atlanta, GA, USA 2008 33 40
15. C. Hamzacebi Improving genetic algorithms' performance by local search for continuous function optimization Applied Mathematics and Computation 196 2008 309 317
16. S.L. Ho, S.Y. Yang, G.Z. Ni, and H.C. Wong A tabu method to find the Pareto solutions for multiobjective optimal problems in electromagnetics IEEE Trans. Magn. 38 2002 1013 1016
17. S.L. Ho, S.Y. Yang, H.C. Wong, and G.Z. Ni A simulated annealing algorithm for multiobjective optimizations of electromagnetic devices IEEE Trans. Magn. 39 2003 1285 1288
18. K. Miettinen Nonlinear Multiobjective Optimization 1999 Kluwer Academic Publishers Boston
19. D. Pinto, and B. Baran Solving multiobjective multicast routing problem with a new ant colony optimization approach Second IFIP/ACM Latin American Networking Conference (LANC'05) Cali Colombia 2005 11 19
20. S.S. Rao Engineering Optimization Theory and Practice 3rd edition 1996 John Wiley New York p. 903
21. R. Sun, X. Wang, and G. Zhao An ant colony optimization approach to multi-objective supply chain model Second International Conference on Secure System Integration and Reliability Improvement SSIRI '08, 14-17 July 2008 2008 193 194
22. D.A.G. Vieira, R.L.S. Adriano, J.A. Vasconcelos, and L. Krahenbuhl Treating constraints as objectives in multiobjective optimization problems using niched Pareto genetic algorithm IEEE Trans. Magn. 40 2004 1188 1191
23. D. Whitley The GENITOR algorithm and selection pressure: why rank-based allocation of reproductive trials is best J. David Schaffer, Proc. of the Third Int. Conf. on Genetic Algorithms 1989 Morgan Kaufmann Publishers San Mateo 116 121
24. E. Zitzler, K. Deb, and L. Thiele Comparison of multiobjective evolutionary algorithms: empirical results Evolutionary Computation 8 2000 173 195
25. X. Ying, and K. Yaping Applying an ant colony optimization algorithm-based multiobjective approach for time-cost trade-off J. Constr. Eng. Manage. 134 February (2) 2008 153 156