Carlos A. Coello Coello and Alan D. Christiansen. A Simple Genetic Algorithm for the design of reinforced concrete beams. Engineering with Computers, 13(4):185-196, 1997.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....is arranged in alphabetical order by the name of the journal. Archives of Control Sciences, 285] Arti cial Intelligence, 356] Civil Engineering Systems, 132] Complex Systems, 403] Computers in Industry, 139] DIMACS, 196] Engineering Optimization, 136, 138] Engineering with Computers, [89] Evolutionary Computation, 87, 88, 95, 99, 112, 116, 412] Expert Systems with Applications, 114] Fuzzy Systems Arti cial Intelligence Reports and Letters, 176] IEE Proceedings C: Generation, Transmission and Distribution, 151] IEE Proceedings, Vision, Image, Signal Processing, 66] ....

....G. 66] Camponogara, Eduardo, 301] Cant u Paz, Erick, 191] Caruana, Rich, 56, 58] Carvalho, Luis, 29] Castro, J. L. 378] Cejtin, H. 310] Chalmers, Alan G. 220, 251] Chen, J. R. 96] Chen, Shu Heng, 315] Chiva, Emmanual, 155] Chorafas, Dimitris N. 12] Christiansen, Alan D. [13, 52, 57, 63, 65, 89, 119, 132, 136] Chu, Chee Hung H. 154] Cli , David T. 156, 159, 161, 192, 367, 368, 370, 371, 372, 373, 374, 376] Clote, Peter, 86] Cockcroft, Victor, 248] Coello Coello, Carlos A. 13, 26, 32, 35, 36, 37, 40, 52, 57, 59, 60, 61, 62, 63, 65, 114, 119, 128, 130, 131, 132, 136, 137, 138, 139] Coello ....

[Article contains additional citation context not shown here]

Carlos C. Coello Coello, Alan D. Christiansen, and F. S. Hernandez. A simple genetic algorithm for the design of reinforced concrete beams. Engineering with Computers, 13(4):185-196, 1997. ( URL: http://www.lania.mx/~ccoello/papers.html) yCoelloCoello CCA107324/97 Key: ga97aCCCoello.

....[92] Bad. Oper. Decyzje (Poland) 166] Biophysical Journal, 238] Chromatographia, 132] Civil Engineering Systems, 96, 105] Computers in Industry, 109] Egypt. Comput. J. Egypt) 11] Electronics Letters, 197, 20] Engineering Optimization, 106, 108] Engineering with Computers, [94] European Journal of Operational Research, 237] EvoNews, 194] Expert Systems with Applications, 99] Finite Elements in Analysis and Design, 264] Fuzzy Systems Artificial Intelligence Reports and Letters, 144] IEEE Transaction on Power Systems, 240] IEEE Transactions on Pattern ....

....Luis, 237] Castro, J. L. 248] Castro, Jesus Silva, 257] Cerrolaza, M. 258, 264, 267] Cesteros, A. M. F. P. 183] Chacon, P. 238] Chang, O. 255, 256, 260, 262] Chaves, R. O. 39, 55] Chavez, Margarita G. 268] Cheim, L. 47] Chowdhury, M. M. M. 18] Christiansen, Alan D. [73, 80, 85, 94, 96, 97, 105, 106] Cluitmans, L. J. M. 16] Coello Coello, Carlos A. 71, 73, 74, 75, 76, 77, 78, 80, 81, 82, 83, 84, 85, 87, 94, 96, 97, 99, 102, 103, 104, 105, 106, 107, 108, 109] Colin, A. 92] Colmenares, A. 263] Comellas, F. 245] Conejo, A. J. 184] Conejo, A. 195] Cord on, Oscar, 150, 164, ....

[Article contains additional citation context not shown here]

Carlos A. Coello Coello, Alan D. Christiansen, and Filiberto Santos Hern'andez. A simple genetic algorithm for the design of reinforced concrete beams. Engineering with Computers, 13(4):?, 1996. yCoelloCoello ga96bCoelloCoello.

....Elem. UK) 169] Eng. Appl. Artif. Intell. UK) 363, 421, 449, 828] Eng. Comput. UK) 541] Eng. Intell. Syst. Electr. Eng. Commun. UK) 477, 655, 840] Eng. Opt. 195] Engineering Computations, 377, 499] Engineering Design and Automation Journal, 887] Engineering with Computers, [621] Eur. J. Oper. Res. 558] Eur. J. Oper. Res. Netherlands) 75] European Journal of Operational Research, 35, 53, 79, 196, 210, 275, 285, 327, 365, 386, 408, 516, 599, 628, 740, 788] Evolutionary Computation, 109, 532, 596, 650, 744] Evolutionary Theory, 241] EvoNews, 123, 140, 173, ....

....655] Chiba, T. 83] Chipperfield, Andrew, 84] Chitre, Yateen, 108] Chiu, Chien Chien, 608] Cho, Cheo Hyeon, 67] Cho, Kyung Ho, 708] Choate, Timothy D. 537] Choi, Young Kiu, 152] Chou, Seng Cho Timothy, 410] Chowdhary, Swapan, 205] Chowdhury, Nirmalya, 313] Christiansen, Alan D. [621, 817, 864] Chu, C. Y. 836] Chu, Paul C. 196] Chua, David K. 804] Chun, Dae Nyung, 94, 631] Chung, C. Y. 414] Chunguang, Zhou, 618] Chunnanond, Vorathum, 401] 22 Genetic algorithms of 1996 (non proceedings) Cios, K. J. 85] Clark, David E. 90] Clark, Sean, 415] Clarke, L. P. 518] ....

[Article contains additional citation context not shown here]

Carlos A. Coello Coello, Alan D. Christiansen, and Filiberto Santos Hern'andez. A simple genetic algorithm for the design of reinforced concrete beams. Engineering with Computers, 13(4):?, 1996. yCoelloCoello ga96bCoelloCoello. 74 Genetic algorithms of 1996 (non-proceedings)

....(linear, nonlinear, equality and inequality) into the tness function in order to guide the search properly. The approach most commonly used to incorporate constraints is the penalty function (mainly exterior) and there have been many successful applications of this approach in the literature [18, 2]. However, penalty functions have some well known limitations [21] from which the most remarkable is the diculty to de ne good penalty factors. These penalty factors are normally generated by trial and error, although their de nition may severely a ect the results produced by the GA [21] In ....

Carlos A. Coello Coello and Alan D. Christiansen. A Simple Genetic Algorithm for the design of reinforced concrete beams. Engineering with Computers, 13(4):185-196, 1997.

....All the penalty based approaches indicated above (except for the co evolutionary penalty) were implemented using a GA with binary representation, two point crossover, tournament selection, and uniform mutation. The co evolutionary penalty was implemented using a GA with xed point representation [26], uniform crossover and non uniform mutation [104] Three test functions were selected to perform our small comparative study. Their corresponding description together with our comparison of results follows. 30 7.1 Example 1 : Himmelblau s Nonlinear Optimization Problem This problem was ....

Carlos A. Coello Coello and Alan D. Christiansen. A Simple Genetic Algorithm for the design of reinforced concrete beams. Engineering with Computers, 13(4):185-196, 1997.

....of any sort (linear, non linear, equality or inequality) into the fitness function as to guide the search properly. The approach most commonly used to incorporate constraints is the penalty function, and there have been many successful applications of this approach reported in the literature [1, 15, 35, 31, 12]. However, penalty functions have some well known limitations [41] from which the most remarkable is the difficulty to define good penalty factors. These penalty factors are normally generated by trial and error, although their definition may severely affect the results produced by the GA [41] ....

Carlos A. Coello Coello and Alan D. Christiansen. A Simple Genetic Algorithm for the design of reinforced concrete beams. Engineering with Computers, 13(4):185--196, 1997.

....be considered as additional constraints by the new approach) The cross section of each element can be different, thus the problem has 10 design variables. 5 COMPARISON OF RESULTS The genetic algorithm used for the experiments presented in this paper uses a fixed point representation [34, 35], according to which a chromosome is a string of the form hd 1 ; d 2 ; dm i, where d 1 ; d 2 ; dm are digits (numbers between zero and nine) Consider the examples shown in Figure 7, in which the same value is represented using binary and fixed point encoding. 1 WIRE basically ....

Coello, C. A. C. and Christiansen, A. D. (1997). A simple genetic algorithm for the design of reinforced concrete beams. Engineering with Computers , 13(4):185--196.

....of the number 415.293 using binary encoding Representation of the number 415.293 1 0 Fig. 1. Representing the same number using binary and fixed point encodings. 3 Genetic Operators The genetic algorithm used for the experiments presented in this paper uses a fixed point representation [19,20], according to which a chromosome is a string of the form hd 1 ; d 2 ; dm i, where d 1 ; d 2 ; dm are digits (numbers between zero and nine) Consider the examples shown in Figure 1, in which the same value is represented using binary and fixed point encoding. Fixed point ....

....true in the binary representation, where the distance in a representation is normally defined by the number of different bit positions. In previous work, the author has shown the usefulness of fixed point representation where this representation has compared favorably to its binary counterpart [21,19,20]. For crossover, it was decided to use uniform crossover, which is a relatively recent operator proposed by Syswerda [22] that can be seen as a generalization of the more traditional one point and two point crossover operators [23,12] In this case, for each gene (i.e. string position) in the ....

[Article contains additional citation context not shown here]

Carlos A. Coello Coello and Alan D. Christiansen. A simple genetic algorithm for the design of reinforced concrete beams. Engineering with Computers, 13(4):185--196, 1997.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC