Electimize: New evolutionary algorithm for optimization with application in construction engineering

Journal of Computing in Civil Engineering

Volumn 25, Issue 3, 2011, Pages 192-201

  Khalafallah, Ahmed ^a   Abdel Raheem, Mohamed ^a  

^a University of Central Florida   (United States)

Author keywords

Cash flow; Construction; Optimization algorithms

Indexed keywords

CASH FLOW; CONSTRUCTION ENGINEERING; CONSTRUCTION OPTIMIZATION; CURRENT OPTIMIZATION; DECISION VARIABLES; ELECTRIC CIRCUIT; EVOLUTIONARY OPTIMIZATION ALGORITHM; FUNDAMENTAL RESEARCH; GLOBAL LEVELS; LARGE-SCALE PROBLEM; NP-HARD; OBJECTIVE FUNCTIONS; OPTIMAL SOLUTIONS; OPTIMIZATION ALGORITHMS; RESEARCH METHODOLOGIES;

DECISION MAKING; ELECTRIC CABLES; ELECTRIC WIRE; HIGHWAY BRIDGES; OPTIMAL SYSTEMS; OPTIMIZATION; RESEARCH; WIRE;

EVOLUTIONARY ALGORITHMS;

EID: 79957587607     PISSN: 08873801     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)CP.1943-5487.0000080     Document Type: Article

References (25)

1. Abdel-Raheem, M. (2007). Cash management: A computer-based framework for maximizing profit using evolutionary algorithms.. M.Sc. thesis, Faculty of Engineering, Cairo Univ., Giza, Egypt.
2. Ahuja, H. N. (1983). Project management: Techniques in planning and controlling construction projects, Wiley, New York.
3. Aguilar, J. (2004). A general ant colony model to solve combinatorial optimization problems.. Columbian J. Comput., 2 (1), 7-18.
4. Christodoulou, S. (2005). Scheduling construction activities using ant colony optimization.. Proc. of the Tenth Int. Conf. on Civil, Structural, and Environmental Engineering Computing, Civil-Comp Press, Stirling, Scotland, 1-12.
5. Dorigo, M., and Stutzle, T. (2004). Ant colony optimization, MIT Press, Cambridge, MA.
6. Elazouni, A. M., and Metwally, G. (2005). Finance-based scheduling: tool to maximize project profit using improved genetic algorithms.. J. Constr. Eng. Manage. 0733-9364, 131 (4), 400-412. 10.1061/(ASCE)0733-9364(2005)131:4(400) (Pubitemid 40430136)
7. Elbeltagi, E., Hegazy, T., and Grierson, D. (2005). Comparison among five evolutionary-based optimization algorithms.. Advanced engineering informatics, Elsevier, 43-55.
8. El-Rayes, K., and Kandil, A. (2005). Time-cost-quality trade-off analysis for highway construction.. J. Constr. Eng. Manage. 0733-9364, 131 (4), 477-486. 10.1061/(ASCE)0733-9364(2005)131:4(477) (Pubitemid 40430144)
9. Eusuff, M., Lansey, K., and Pasha, F. (2006). Shuffled frog-leaping algorithm: A memetic meta-heuristic for discrete optimization.. Eng. Optim. 0305-215X, 38 (2), 129-154. 10.1080/03052150500384759 (Pubitemid 43279596)
10. Feng, C. W., Liu, L., and Burns, S. (1997). Using genetic algorithms to solve construction time-cost trade-off problems.. J. Comput. Civ. Eng. 0887-3801, 11 (3), 184-189. 10.1061/(ASCE)0887-3801(1997)11:3(184) (Pubitemid 127590539)
11. Goldberg, D. E. (1989). Genetic algorithms in search, optimization, and machine learning, Addison-Wesley, New York.
12. Haidar, A., Naoum, S., Howes, R., and Tah, J. (1999). Genetic algorithms application and testing for equipment selection.. J. Constr. Eng. Manage. 0733-9364, 125 (1), 32-40. 10.1061/(ASCE)0733-9364(1999)125:1(32)
13. Hegazy, T., and Ersahin, T. (2001). Simplified spreadsheet solutions. II: Overall schedule optimization.. J. Constr. Eng. Manage. 0733-9364, 127 (6), 469-475. 10.1061/(ASCE)0733-9364(2001)127:6(469) (Pubitemid 33137751)
14. Hegazy, T., and Wassef, N. (2001). Cost optimization in projects with repetitive nonserial activities.. J. Constr. Eng. Manage. 0733-9364, 127 (3), 183-191. (Pubitemid 32508536)
15. Kennedy, J., and Eberhart, R. C. (2001). Swarm intelligence, Morgan Kaufmann, San Francisco.
16. Khalafallah, A., and El-Rayes, K. (2006). Minimizing construction-related hazards in airport expansion projects.. J. Constr. Eng. Manage. 0733-9364, 132 (6), 562-572. 10.1061/(ASCE)0733-9364(2006)132:6(562)
17. Leu, S. S., and Yang, C. H. (1999). GA-Based multicriteria optimal model for construction scheduling.. J. Constr. Eng. Manage. 0733-9364, 125 (6), 420-427. 10.1061/(ASCE)0733-9364(1999)125:6(420) (Pubitemid 30509596)
18. Lu, M. (2002). Enhancing project evaluation and review technique simulation through artificial neural network-based input modeling.. J. Constr. Eng. Manage. 0733-9364, 128 (5), 438-445. 10.1061/(ASCE)0733-9364(2002)128: 5(438) (Pubitemid 40265528)
19. Maier, H. R., (2003). Ant colony optimization for design of water distribution systems.. J. Water Resour. Plann. Manage. 0733-9496, 129 (3), 200-209. 10.1061/(ASCE)0733-9496(2003)129:3(200) (Pubitemid 36562715)
20. Moscato, P. (1989). On evolution, search, optimization, genetic algorithms and martial arts: Towards memetic algorithms, Caltech concurrent computation program.. C3P Report 826, California Institute of Technology, Pasadena, CA.
21. Shyu, S. J., Yin, P., and Lin, B. M. T. (2004). An ant colony optimization algorithm for the minimum weight vertex cover problem.. Ann. Oper. Res. 0254-5330, 131, 283-304. 10.1023/B:ANOR.0000039523.95673.33 (Pubitemid 39187384)
22. Solimanpur, M., Vart, P., and Shankar, R. (2004). Ant colony optimization algorithm to the inter-cell layout problem in cellular manufacturing.. Eur. J. Oper. Res. 0377-2217, 157 (3), 592-606. 10.1016/S0377-2217(03)00248-0
23. Winstone, W. L. (1993). Operations research applications and algorithms, Duxbury Press, Pacific Grove, CA.
24. Wu, S. A., and Banzhaf, W. (1998). Introduction to special issues: Variable-length representation and noncoding segments for evolutionary algorithms.. Evolutionary Comp., 6 (4), iii-v.
25. Zehng, D. X. M., Ng, S., and Kumaraswamy, M. M. (2005). Applying Pareto ranking and niche formation to genetic algorithm-based multiobjective time-cost optimization.. J. Constr. Eng. Manage. 0733-9364, 131 (1), 81-91. 10.1061/(ASCE)0733-9364(2005)131:1(81) (Pubitemid 40135235)