J. T. Alander, "An indexed bibliography of genetic algorithms with fuzzy logic," in Fuzzy Evolutionary Computation, W. Pedrycz, Ed. Kluwer Academic, 1997, pp. 299--318.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....0 Membership 20 26 1 Figure 1.1 Membership function of a crisp set. The crisp set is defined as A = 26 . Fuzzy sets are a generalization of crisp sets. A fuzzy set F defined on a universe of discourse U is characterized by a membership function F ) which takes values in the interval [0, 1] (i.e. A : U [0, 1] Note that the term membership function makes more sense in the context of fuzzy sets as it stresses the idea that F ) denotes the degree to whichx is a member of the set F . The operation that assigns a membership value ) to a given valuex is called ....

....Figure 1.1 Membership function of a crisp set. The crisp set is defined as A = 26 . Fuzzy sets are a generalization of crisp sets. A fuzzy set F defined on a universe of discourse U is characterized by a membership function F ) which takes values in the interval [0, 1] i.e. A : U [0, 1]) Note that the term membership function makes more sense in the context of fuzzy sets as it stresses the idea that F ) denotes the degree to whichx is a member of the set F . The operation that assigns a membership value ) to a given valuex is called fuzzification. The example in Figure ....

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J. T. Alander. An indexed bibliography of genetic algorithms with fuzzy logic. In Pedrycz [133], pages 299--318.

....operation) Evolutionary fuzzy modeling has since been applied to an ever growing number of domains, branching into areas as diverse as chemistry, medicine, telecommunications, biology, and geophysics. For a detailed bibliography on evolutionary fuzzy modeling up to 1996, the reader is referred to [1, 6]. Depending on several criteria including the available a priori knowledge about the system, the size of the parameter set, and the availability and completeness of input output data artificial evolution can be applied in different stages of the fuzzy parameter search. Three of the four ....

J. T. Alander. An indexed bibliography of genetic algorithms with fuzzy logic. In Pedrycz [29], pages 299--318.

....been applied to an ever 6 Carlos Andres Pena Reyes and Moshe Sipper growing number of domains, branching into areas as diverse as chemistry, medicine, telecommunications, biology, and geophysics. For a detailed bibliography on evolutionary fuzzy modeling up to 1996, the reader is referred to [1, 3]. Depending on several criteria including the available a priori knowledge about the system, the size of the parameter set, and the availability and completeness of input output data artificial evolution can be applied in di#erent stages of the fuzzy parameter search. Three of the four ....

J. T. Alander. An indexed bibliography of genetic algorithms with fuzzy logic. In Pedrycz [15], pages 299--318.

....operation) Evolutionary fuzzy modeling has since been applied to an evergrowing number of domains, branching into areas as diverse as chemistry, medicine, telecommunications, biology, and geophysics. For a detailed bibliography on evolutionary fuzzy modeling up to 1996, the reader is referred to [1], 5] Depending on several criteria including the available a priori knowledge about the system, the size of the parameter set, and the availability and completeness of input output data, artificial evolution can be applied in different stages of IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 9, NO. ....

J. T. Alander, "An indexed bibliography of genetic algorithms with fuzzy logic," in Fuzzy Evolutionary Computation, P. W. Pedrycz, Ed. Norwell, MA: Kluwer , 1997, pp. 299--318.

....and operational (Table 1) We then focus our attention on structural and connective parameters, presenting the three major evolutionary approaches: Michigan, Pittsburgh, and iterative rule learning. For a detailed bibliography on evolutionary fuzzy modeling up to 1996, the reader is referred to [1,4]. 3.1. Applying e#olution to fuzzy modeling Depending on several criteria including the available a priori knowledge about the system, the size of the parameter set, and the availability and completeness of input output data artificial evolution can be applied in different stages of the ....

Alander JT. An indexed bibliography of genetic algorithms with fuzzy logic. In: Pedrycz W, editor. Fuzzy Evolutionary Computation. Dordrecht: Kluwer, 1997:299 -- 318.

....and op8 erational (Table 1) We then focus our attention on structural and connective parameters, presenting the three major evolutionary approaches: Michigan, Pittsburgh, and iterative rule learning. For a detailed bibliography on evolutionary fuzzy modeling up to 1996, the reader is referred to [1, 3]. 3.1 Applying evolution to fuzzy modeling Depending on several criteria including the available a priori knowledge about the system, the size of the parameter set, and the availability and completeness of input output data artificial evolution can be applied in different stages of the fuzzy ....

....or 0 or 3 (Other) 13 Table 2 Parameters encoding of an individual s genome. Total genome length is 54 18N r , where N r denotes the number of rules (N r is set a priori to a value between 1 5, and is fixed during the genetic algorithm run) Parameter Values Bits Quantity Total bits P [1 8] 3 9 27 d [1 8] 3 9 27 A [0 3] 2 9N r 18N r Relevant variables are searched for implicitly by letting the algorithm choose non existent membership functions as valid antecedents; in such a case the respective variable is considered irrelevant. For example, the rule if (v 1 is High) and (v 2 ....

[Article contains additional citation context not shown here]

J. T. Alander. An indexed bibliography of genetic algorithms with fuzzy logic. In W. Pedrycz, editor, Fuzzy Evolutionary Computation, pages 299--318. Kluwer Academic Publishers, 1997.

....operation) Evolutionary fuzzy modeling has since been applied to an ever growing number of domains, branching into areas as diverse as chemistry, medicine, telecommunications, biology, and geophysics. For a detailed bibliography on evolutionary fuzzy modeling up to 1996, the reader is referred to [1, 6]. Depending on several criteria including the available a priori knowledge about the system, the size of the parameter set, and the availability and completeness of input output Pena Reyes Sipper, Fuzzy Modeling by Fuzzy CoCo 8 data artificial evolution can be applied in di#erent stages of ....

J. T. Alander. An indexed bibliography of genetic algorithms with fuzzy logic. In Pedrycz [32], pages 299--318.

....operation) Evolutionary fuzzy modeling has since been applied to an ever growing number of domains, branching into areas as diverse as chemistry, medicine, telecommunications, biology, and geophysics. For a detailed bibliography on evolutionary fuzzy modeling up to 1996, the reader is referred to [1, 4]. Depending on several criteria including the available a priori knowledge about the system, the size of the parameter set, and the availability and completeness of input output data artificial evolution can be applied in different stages of the fuzzy parameters search. Three of the four ....

....XX, NO. Y, MONTH 2000 107 TABLE II Genome encoding of parameters for both species. Genome length for membership functions is 54 bits. Genome length for rules is 19 Theta Nr 1, where Nr denotes the number of rules. Species 1: Membership functions Parameter Values Bits Qty Total bits P [1 8] 3 9 27 d [1 8] 3 9 27 Total 54 Species 2: Rules Parameter Values Bits Qty Total bits A [0 3] 2 9 Theta Nr 18 Theta Nr C [1,2] 1 Nr 1 Nr 1 Total 19 Theta Nr 1 CoCo algorithm with the same evolutionary parameters for both species. Values and ranges of values used for these ....

[Article contains additional citation context not shown here]

J. T. Alander. An indexed bibliography of genetic algorithms with fuzzy logic. In Pedrycz [28], pages 299--318.

..... Evolutionary fuzzy modeling has since been applied to an ever growing number of domains, branching into areas as diverse as chemistry, medicine, telecommunications, biology, and geophysics. For a detailed bibliography on evolutionary fuzzy modeling up to 1996, the reader is referred to [1, 2]. Depending on several criteria including the available a priori knowledge about the system, the size of the parameter set, and the availability and completeness of input output data artificial evolution can be applied in different stages of the fuzzy parameters search. Three of the four ....

....i.e. there was only one species. Table 2 Genome encoding of parameters for both species. Genome length for membership functions is 54 bits. Genome length for rules is 19 Theta Nr 1, where Nr denotes the number of rules. Parameter Values Bits Qty Total bits Species 1: Membership functions P [1 8] 3 9 27 d [1 8] 3 9 27 Total 54 Species 2: Rules A [0 3] 2 9 Theta Nr 18 Theta Nr C [1,2] 1 Nr 1 Nr 1 Total 19 Theta Nr 1 To evolve the fuzzy inference system, we applied a Fuzzy CoCo algorithm with the same evolutionary parameters for both species. Values and ranges of values used ....

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J. T. Alander. An indexed bibliography of genetic algorithms with fuzzy logic. In Pedrycz [15], pages 299--318.

.... Universite Paris VI, 337] Physical Optics Corporation, 14] Ruhr Universit at Bochum, 701] Technische Universit at der Berlin, 322] United States Department of the Interior, 65, 156] Universidad de Granada, 158, 682] University of Granada, 111, 400, 147, 155] University of Vaasa, [456] total 14 reports in 9 institutes 4.5 Patents The following list contains the names of the patents of genetic algorithms with fuzzy systems. The list is arranged in alphabetical order by the name of the patent. none 14 Genetic algorithms with fuzzy systems 4.6 Authors The following list ....

....709] Adjei, Osei, 499, 526] Agapie, A. 261, 433] Agapie, Alexandru, 53, 433] Aguirre, Arturo Hern andez, 423] Ahmad, N. 589] Akahori, Hiroshi, 113] Akbarzadeh, Mohammad R. 493] Akbarzadeh, M. R. 625] Akbarzadeh T. M. R. 140, 615] Akec, J. 161, 266] Alander, Jarmo T. [663, 304, 456] Alba, Enrique, 558, 566] Albert, J. 671] Albisser, A. M. A. 743] Ali, Fath El Alem Fadlallah, 401] Ali, Fath El Alem Faslallah, 719] Alimi, A. M. 246] Anderson, Jessica, 315] Ankenbrandt, Carol Ann, 319, 320] Anlagan, O. 247] Anon. 766] Arai, Fumihito, 38, 119, 437, ....

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Jarmo T. Alander. Indexed bibliography of genetic algorithms with fuzzy systems. Report 94-1-FUZZY, University of Vaasa, Department of Information Technology and Production Economics, 1995. (available via anonymous ftp site ftp.uwasa.fi directory cs/report94-1 le gaFUZZYbib.ps.Z) gaFUZZYbib.

.... at Urbana Champaign, 189, 191, 217, 223, 235, 362, 363, 364, 383, 389] University of Nebraska Lincoln, 108, 322] Patents 13 University of Strathclyde, 390, 391, 392] University of Sussex, 156, 159, 161, 165, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 376] University of Vaasa, [145, 146, 147, 148, 180, 231, 281, 295, 296, 323, 336, 337, 338, 339, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466] total 146 reports in 37 institutes 4.5 Patents The following list contains the names of the patents of genetic algorithms available via ftp and www. The list is arranged in alphabetical order by the name of the patent. none 14 Genetic algorithms available via ftp and www 4.6 Authors The ....

....and www authors and references to their known contributions. Abela, J. 340, 341, 343] Abramson, David, 340, 341, 342, 343] Adami, Chris, 344] Adamidis, Panagiotis, 149] Adams, William, 64] Aguirre, Arturo Hern andez, 63, 119, 130, 131] Ahuactzin, Juan Manuel, 417, 419] Alander, Jarmo T. [143, 145, 146, 147, 148, 150, 173, 180, 181, 184, 187, 216, 231, 274, 281, 282, 284, 287, 289, 291, 293, 294, 295, 296, 299, 320, 323, 324, 329, 330, 331, 332, 333, 336, 337, 339, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466] Alonso, Antonio A. 335] Alonso, F. 59] Altenberg, Lee, 182] Amin, Shara, 298] Anderson, Charles W. 31] Anderson, R. W. 112] Ansari, Nirwan, 85] Aspn as, Anders, 248] Astola, Jaakko, 199] Atlan, Laurent, 345] Autere, Antti, 174, 184] Back, Barbro, 188] B ack, Thomas, 20, ....

[Article contains additional citation context not shown here]

Jarmo T. Alander. Indexed bibliography of genetic algorithms with fuzzy systems. Report 94-1-FUZZY, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fi: cs/report94-1/ gaFUZZYbib.ps.Z) Key: gaFUZZYbib.

.... University of Illinois at Urbana Champaign, 148, 150, 177, 183, 195, 317, 318, 319, 338, 344] University of Nebraska Lincoln, 85, 282] University of Strathclyde, 345, 346, 347] University of Sussex, 114, 117, 119, 123, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 331] University of Vaasa, [103, 104, 105, 106, 139, 191, 241, 255, 256, 294, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419] total 136 reports in 33 institutes 4.5 Patents The following list contains the names of the patents of genetic algorithms available via ftp and www. The list is arranged in alphabetical order by the name of the patent. ffl none Authors 13 4.6 Authors The following list contains all genetic ....

....all genetic algorithms available via ftp and www authors and references to their known contributions. Abela, J. 295, 296, 298] Abramson, David, 295, 296, 297, 298] Adami, Chris, 299] Adamidis, Panagiotis, 107] Adams, William, 46] Ahuactzin, Juan Manuel, 372, 374] Alander, Jarmo T. [101, 103, 104, 105, 106, 108, 132, 139, 140, 143, 146, 176, 191, 234, 241, 242, 244, 247, 249, 251, 253, 254, 255, 256, 259, 280, 283, 288, 289, 290, 291, 292, 294, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419] Altenberg, Lee, 141] Amin, Shara, 258] Anderson, Charles W. 28] Anderson, R. W. 89] Ansari, Nirwan, 65] Aspnas, Anders, 208] Astola, Jaakko, 158] Atlan, Laurent, 300] Autere, Antti, 133, 143] Back, Barbro, 147] Back, Thomas, 19, 367] Baiardi, Fabrizio, 182] Bakirtzis, A. G. ....

[Article contains additional citation context not shown here]

Jarmo T. Alander. Indexed bibliography of genetic algorithms with fuzzy systems. Report 94-1-FUZZY, University of Vaasa, Department of Information Technology and Production Economics, 1995. (ftp.uwasa.fi: cs/report94-1/ gaFUZZYbib.ps.Z) Key: gaFUZZYbib.

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J. T. Alander, "An indexed bibliography of genetic algorithms with fuzzy logic," in Fuzzy Evolutionary Computation, W. Pedrycz, Ed. Kluwer Academic, 1997, pp. 299--318.

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J. T. Alander. An indexed bibliography of genetic algorithms with fuzzy logic. In Pedrycz [16], pages 299--318.

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