-
1
-
-
0027601884
-
ANFIS: Adaptive-network-based fuzzy inference system
-
May/Jun
-
J.-S. R. Jang, "ANFIS: Adaptive-network-based fuzzy inference system," IEEE Trans. Syst., Man, Cybern., vol. 23, no. 3, pp. 665-685, May/Jun. 1993.
-
(1993)
IEEE Trans. Syst., Man, Cybern
, vol.23
, Issue.3
, pp. 665-685
-
-
Jang, J.-S.R.1
-
4
-
-
0031268065
-
An ART-based fuzzy adaptive learning control network
-
Nov
-
C. J. Lin and C. T. Lin, "An ART-based fuzzy adaptive learning control network," IEEE Trans. Fuzzy Syst., vol. 5, no. 4, pp. 477-496, Nov. 1997.
-
(1997)
IEEE Trans. Fuzzy Syst
, vol.5
, Issue.4
, pp. 477-496
-
-
Lin, C.J.1
Lin, C.T.2
-
5
-
-
0031999146
-
An online self-constructing neural fuzzy inference network and its applications
-
Feb
-
C. F. Juang and C. T. Lin, "An online self-constructing neural fuzzy inference network and its applications," IEEE Trans. Fuzzy Syst., vol. 6, no. 1, pp. 12-31, Feb. 1998.
-
(1998)
IEEE Trans. Fuzzy Syst
, vol.6
, Issue.1
, pp. 12-31
-
-
Juang, C.F.1
Lin, C.T.2
-
6
-
-
0036530967
-
DENFIS: Dynamic evolving neural-fuzzy inference system and its application for time-series prediction
-
Apr
-
N. K. Kasabov and Q. Song, "DENFIS: Dynamic evolving neural-fuzzy inference system and its application for time-series prediction," IEEE Trans. Fuzzy Syst., vol. 10, no. 2, pp. 144-154, Apr. 2002.
-
(2002)
IEEE Trans. Fuzzy Syst
, vol.10
, Issue.2
, pp. 144-154
-
-
Kasabov, N.K.1
Song, Q.2
-
7
-
-
4844222566
-
Prediction and identification using wavelet-based recurrent fuzzy neural networks
-
Oct
-
C. J. Lin and C. C. Chin, "Prediction and identification using wavelet-based recurrent fuzzy neural networks," IEEE Trans. Syst., Man, Cybern., vol. 34, no. 5, pp. 2144-2154, Oct. 2004.
-
(2004)
IEEE Trans. Syst., Man, Cybern
, vol.34
, Issue.5
, pp. 2144-2154
-
-
Lin, C.J.1
Chin, C.C.2
-
9
-
-
0346781553
-
Ten years of genetic fuzzy systems: Current framework and newtrends
-
O. Cordon, F. Gomide, F. Herrera, F. Hoffmann, and L. Magdalena, "Ten years of genetic fuzzy systems: Current framework and newtrends," Fuzzy Sets Syst., vol. 141, no. 1, pp. 5-31, 2004.
-
(2004)
Fuzzy Sets Syst
, vol.141
, Issue.1
, pp. 5-31
-
-
Cordon, O.1
Gomide, F.2
Herrera, F.3
Hoffmann, F.4
Magdalena, L.5
-
10
-
-
33748894279
-
Genetic fuzzy systems: Status, critical considerations and future directions
-
F. Herrera, "Genetic fuzzy systems: Status, critical considerations and future directions," Int. J. Comput. Intell. Res., vol. 1, no. 1, pp. 59-67, 2005.
-
(2005)
Int. J. Comput. Intell. Res
, vol.1
, Issue.1
, pp. 59-67
-
-
Herrera, F.1
-
11
-
-
0031275420
-
Evolutionary design of a fuzzy knowledge base for a mobile robot
-
Nov
-
S. H. Stewart, S. Taylor, J. M. Baker, F. Hoffmann, and G. Pfister, "Evolutionary design of a fuzzy knowledge base for a mobile robot," Int. J. Approx. Reason., vol. 17, no. 4, pp. 447-469, Nov. 1997.
-
(1997)
Int. J. Approx. Reason
, vol.17
, Issue.4
, pp. 447-469
-
-
Stewart, S.H.1
Taylor, S.2
Baker, J.M.3
Hoffmann, F.4
Pfister, G.5
-
13
-
-
0032597810
-
Performance evaluation of fuzzy classifier systems for multi-dimensional pattern classification problems
-
Oct
-
H. Ishibuchi, T. Nakashima, and T. Murata, "Performance evaluation of fuzzy classifier systems for multi-dimensional pattern classification problems," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 29, no. 5, pp. 601-618, Oct. 1999.
-
(1999)
IEEE Trans. Syst., Man, Cybern. B, Cybern
, vol.29
, Issue.5
, pp. 601-618
-
-
Ishibuchi, H.1
Nakashima, T.2
Murata, T.3
-
14
-
-
0033317446
-
MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach
-
O. Cordon, M. J. del Jesus, F. Herrera, and M. Lozano, "MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach," Int. J. Intell. Syst., vol. 14, no. 11, pp. 1123-1153, 1999.
-
(1999)
Int. J. Intell. Syst
, vol.14
, Issue.11
, pp. 1123-1153
-
-
Cordon, O.1
del Jesus, M.J.2
Herrera, F.3
Lozano, M.4
-
15
-
-
0033116171
-
SLAVE: A genetic learning system based on an iterative approach
-
Apr
-
A. Gonzalez and R. Perez, "SLAVE: A genetic learning system based on an iterative approach," IEEE Trans. Fuzzy Syst., vol. 7, no. 2, pp. 176-191, Apr. 1999.
-
(1999)
IEEE Trans. Fuzzy Syst
, vol.7
, Issue.2
, pp. 176-191
-
-
Gonzalez, A.1
Perez, R.2
-
16
-
-
0035897955
-
Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm
-
L. Castillo, A. Gonzalez, and R. Perez, "Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm," Fuzzy Sets Syst., vol. 120, no. 2, pp. 309-321, 2001.
-
(2001)
Fuzzy Sets Syst
, vol.120
, Issue.2
, pp. 309-321
-
-
Castillo, L.1
Gonzalez, A.2
Perez, R.3
-
17
-
-
0029359001
-
Selecting fuzzy if-then rules for classification problems using genetic algorithms
-
Aug
-
H. Ishibuchi, K. Nozaki, N. Yamamoto, and H. Tanaka, "Selecting fuzzy if-then rules for classification problems using genetic algorithms," IEEE Trans. Fuzzy Syst., vol. 3, no. 3, pp. 260-270, Aug. 1995.
-
(1995)
IEEE Trans. Fuzzy Syst
, vol.3
, Issue.3
, pp. 260-270
-
-
Ishibuchi, H.1
Nozaki, K.2
Yamamoto, N.3
Tanaka, H.4
-
18
-
-
0000919523
-
Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems
-
H. Ishibuchi, T. Murata, and I. B. Turksen, "Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems," Fuzzy Sets Syst., vol. 89, no. 2, pp. 135-150, 1997.
-
(1997)
Fuzzy Sets Syst
, vol.89
, Issue.2
, pp. 135-150
-
-
Ishibuchi, H.1
Murata, T.2
Turksen, I.B.3
-
19
-
-
0035426682
-
Three-objective genetics-based machine learning for linguistic rule extraction
-
H. Ishibuchi, T. Nakashima, and T. Murata, "Three-objective genetics-based machine learning for linguistic rule extraction," Inf. Sci., vol. 136, no. 1-4, pp. 109-133, 2001.
-
(2001)
Inf. Sci
, vol.136
, Issue.1-4
, pp. 109-133
-
-
Ishibuchi, H.1
Nakashima, T.2
Murata, T.3
-
20
-
-
33751186914
-
Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning
-
H. Ishibuchi andY. Nojima, "Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning," Int. J. Approx. Reason., vol. 44, no. 1, pp. 4-31, 2007.
-
(2007)
Int. J. Approx. Reason
, vol.44
, Issue.1
, pp. 4-31
-
-
Ishibuchi andY, H.1
Nojima2
-
21
-
-
0029184523
-
Fuzzy multi-layer perceptron, inferencing and rule generation
-
Jan
-
S. Mitra and S. K. Pal, "Fuzzy multi-layer perceptron, inferencing and rule generation," IEEE Trans. Neural Netw., vol. 6, no. 1, pp. 51-63, Jan. 1995.
-
(1995)
IEEE Trans. Neural Netw
, vol.6
, Issue.1
, pp. 51-63
-
-
Mitra, S.1
Pal, S.K.2
-
22
-
-
0030241728
-
Fuzzy self-organization, inferencing, and rule generation
-
Sep
-
S. Mitra and S. K. Pal, "Fuzzy self-organization, inferencing, and rule generation," IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 26, no. 5, pp. 608-620, Sep. 1996.
-
(1996)
IEEE Trans. Syst., Man, Cybern. A, Syst., Humans
, vol.26
, Issue.5
, pp. 608-620
-
-
Mitra, S.1
Pal, S.K.2
-
23
-
-
0034187785
-
Neurofuzzy rule generation: Survey in soft computing framework
-
May
-
S. Mitra and Y. Hayashi, "Neurofuzzy rule generation: Survey in soft computing framework," IEEE Trans. Neural Netw., vol. 11, no. 3, pp. 748-768, May 2000.
-
(2000)
IEEE Trans. Neural Netw
, vol.11
, Issue.3
, pp. 748-768
-
-
Mitra, S.1
Hayashi, Y.2
-
24
-
-
0036880603
-
Fuzzy decision tree, linguistic rules and fuzzy knowledge-based network: Generation and evaluation
-
Nov
-
S. Mitra, K. M. Konwar, and S. K. Pal, "Fuzzy decision tree, linguistic rules and fuzzy knowledge-based network: Generation and evaluation," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 32, no. 4, pp. 328-339, Nov. 2002.
-
(2002)
IEEE Trans. Syst., Man, Cybern. C, Appl. Rev
, vol.32
, Issue.4
, pp. 328-339
-
-
Mitra, S.1
Konwar, K.M.2
Pal, S.K.3
-
25
-
-
0037252858
-
Rough-fuzzy MLP: Modular evolution, rule generation, and evaluation
-
Jan./Feb
-
S. K. Pal, S. Mitra, and P. Mitra, "Rough-fuzzy MLP: Modular evolution, rule generation, and evaluation," IEEE Trans. Knowl. Data Eng., vol. 15, no. 1, pp. 14-25, Jan./Feb. 2003.
-
(2003)
IEEE Trans. Knowl. Data Eng
, vol.15
, Issue.1
, pp. 14-25
-
-
Pal, S.K.1
Mitra, S.2
Mitra, P.3
-
26
-
-
0002318273
-
Efficient reinforcement learning through symbiotic evolution
-
D. E. Moriarty and R. Miikkulainen, "Efficient reinforcement learning through symbiotic evolution," Mach. Learn., vol. 22, pp. 11-32, 1996.
-
(1996)
Mach. Learn
, vol.22
, pp. 11-32
-
-
Moriarty, D.E.1
Miikkulainen, R.2
-
27
-
-
0033705962
-
Genetic reinforcement learning through symbiotic evolution for fuzzy controller design
-
Apr
-
C. F. Juang, J. Y. Lin, and C. T. Lin, "Genetic reinforcement learning through symbiotic evolution for fuzzy controller design," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 30, no. 2, pp. 290-302, Apr. 2000.
-
(2000)
IEEE Trans. Syst., Man, Cybern. B, Cybern
, vol.30
, Issue.2
, pp. 290-302
-
-
Juang, C.F.1
Lin, J.Y.2
Lin, C.T.3
-
28
-
-
33644984844
-
A self-adaptive neural fuzzy network with group-based symbiotic evolution and its prediction applications
-
Apr
-
C. J. Lin and Y. J. Xu, "A self-adaptive neural fuzzy network with group-based symbiotic evolution and its prediction applications," Fuzzy Sets Syst., vol. 157, no. 8, pp. 1036-1056, Apr. 2006.
-
(2006)
Fuzzy Sets Syst
, vol.157
, Issue.8
, pp. 1036-1056
-
-
Lin, C.J.1
Xu, Y.J.2
-
29
-
-
0033318859
-
The compact genetic algorithm
-
Nov
-
G. R. Harik, F. G. Lobo, and D. E. Goldberg, "The compact genetic algorithm," IEEE Trans. Evol. Comput., vol. 3, no. 4, pp. 287-297, Nov. 1999.
-
(1999)
IEEE Trans. Evol. Comput
, vol.3
, Issue.4
, pp. 287-297
-
-
Harik, G.R.1
Lobo, F.G.2
Goldberg, D.E.3
-
30
-
-
33644678388
-
A hybrid evolutionary learning algorithm for TSK-type fuzzy model design
-
Mar
-
C. J. Lin and Y. J. Xu, "A hybrid evolutionary learning algorithm for TSK-type fuzzy model design," Math. Comput. Model., vol. 43, no. 5/6, pp. 563-581, Mar. 2006.
-
(2006)
Math. Comput. Model
, vol.43
, Issue.5-6
, pp. 563-581
-
-
Lin, C.J.1
Xu, Y.J.2
-
31
-
-
0029535737
-
Particle swarm optimization
-
Perth, W.A, Australia, Nov./Dec
-
J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proc. IEEE Int. Conf. Neural Netw., Perth, W.A., Australia, vol. 4, Nov./Dec.1995, pp. 1942-1948.
-
(1995)
Proc. IEEE Int. Conf. Neural Netw
, vol.4
, pp. 1942-1948
-
-
Kennedy, J.1
Eberhart, R.2
-
32
-
-
0029517385
-
A new optimizer using particle swarm theory
-
Nagoya, Japan, Oct. 4-6
-
R. Eberhart and J. Kennedy, "A new optimizer using particle swarm theory," in Proc. 6th Int. Symp. Micro Mach. Hum. Sci., Nagoya, Japan, Oct. 4-6, 1995, pp. 39-43.
-
(1995)
Proc. 6th Int. Symp. Micro Mach. Hum. Sci
, pp. 39-43
-
-
Eberhart, R.1
Kennedy, J.2
-
33
-
-
2942539776
-
A particle swarm optimization approach for optimum design of PID controller in AVR system
-
Jun
-
Z. L. Gaing, "A particle swarm optimization approach for optimum design of PID controller in AVR system," IEEE Trans. Energy Convers., vol. 19, no. 2, pp. 384-391, Jun. 2004.
-
(2004)
IEEE Trans. Energy Convers
, vol.19
, Issue.2
, pp. 384-391
-
-
Gaing, Z.L.1
-
34
-
-
0034430526
-
A particle swarm optimization for reactive power and voltage control considering voltage security assessment
-
Nov
-
H. Yoshida, K. Kawata, Y. Fukuyama, S. Takayama, and Y. Nakanishi, "A particle swarm optimization for reactive power and voltage control considering voltage security assessment," IEEE Trans. Power Syst. vol. 15, no. 4, pp. 1232-1239, Nov. 2000.
-
(2000)
IEEE Trans. Power Syst
, vol.15
, Issue.4
, pp. 1232-1239
-
-
Yoshida, H.1
Kawata, K.2
Fukuyama, Y.3
Takayama, S.4
Nakanishi, Y.5
-
35
-
-
0036749163
-
Optimal design of power-system stabilizers using particle swarm optimization
-
Sep
-
M. A. Abido, "Optimal design of power-system stabilizers using particle swarm optimization," IEEE Trans. Energy Convers., vol. 17, no. 3, pp. 406-413, Sep. 2002.
-
(2002)
IEEE Trans. Energy Convers
, vol.17
, Issue.3
, pp. 406-413
-
-
Abido, M.A.1
-
36
-
-
1842535329
-
A hybrid of genetic algorithm and particle swarm optimization for recurrent network design
-
Apr
-
C. F. Juang, "A hybrid of genetic algorithm and particle swarm optimization for recurrent network design," IEEE Trans. Syst., Man Cybern., vol. 34, no. 2, pp. 997-1006, Apr. 2004.
-
(2004)
IEEE Trans. Syst., Man Cybern
, vol.34
, Issue.2
, pp. 997-1006
-
-
Juang, C.F.1
-
37
-
-
0036079715
-
Particle swarms for feedforward neural network training
-
Honolulu, HI
-
R. Mendes, P. Cortez, M. Rocha, and J. Neves, "Particle swarms for feedforward neural network training," in Proc. 2002 Int. Joint Conf. Neural Netw., Honolulu, HI, vol. 2, pp. 1895-1899.
-
Proc. 2002 Int. Joint Conf. Neural Netw
, vol.2
, pp. 1895-1899
-
-
Mendes, R.1
Cortez, P.2
Rocha, M.3
Neves, J.4
-
38
-
-
3142697802
-
A cooperative approach to particle swarm optimization
-
Jun
-
F. Van Den Bergh and A. P. Engelbrecht, "A cooperative approach to particle swarm optimization," IEEE Trans. Evol. Comput., vol. 8, no. 3, pp. 225-239, Jun. 2004.
-
(2004)
IEEE Trans. Evol. Comput
, vol.8
, Issue.3
, pp. 225-239
-
-
Van Den Bergh, F.1
Engelbrecht, A.P.2
-
39
-
-
34548837472
-
A functional-link-based fuzzy neural network for temperature control
-
Honolulu, HI, Apr. 1-5, pp
-
C. H. Chen, C. T. Lin, and C. J. Lin, "A functional-link-based fuzzy neural network for temperature control," in Proc. 2007 IEEE Symp. Found. Comput. Intell., Honolulu, HI, Apr. 1-5, pp. 53-58.
-
Proc. 2007 IEEE Symp. Found. Comput. Intell
, pp. 53-58
-
-
Chen, C.H.1
Lin, C.T.2
Lin, C.J.3
-
40
-
-
0033116436
-
Identification of nonlinear dynamic systems using functional link artificial neural networks
-
Apr
-
J. C. Patra, R. N. Pal, B. N. Chatterji, and G. Panda, "Identification of nonlinear dynamic systems using functional link artificial neural networks," IEEE Trans. Syst., Man, Cybern., vol. 29, no. 2, pp. 254-262, Apr. 1999.
-
(1999)
IEEE Trans. Syst., Man, Cybern
, vol.29
, Issue.2
, pp. 254-262
-
-
Patra, J.C.1
Pal, R.N.2
Chatterji, B.N.3
Panda, G.4
-
41
-
-
0002220448
-
An introduction to cultural algorithms
-
A. V. Sebald and L. J. Fogel, Eds. River Edge, NJ: World Scientific
-
R. G. Reynolds, "An introduction to cultural algorithms," in Proc. 3rd Annu. Conf. Evol. Program., A. V. Sebald and L. J. Fogel, Eds. River Edge, NJ: World Scientific, 1994, pp. 131-139.
-
(1994)
Proc. 3rd Annu. Conf. Evol. Program
, pp. 131-139
-
-
Reynolds, R.G.1
-
42
-
-
84901434141
-
Using knowledge-based evolutionary computation to solve nonlinear constraint optimization problems: A cultural algorithm approach
-
Washington, DC
-
X. Jin and R. G. Reynolds, "Using knowledge-based evolutionary computation to solve nonlinear constraint optimization problems: A cultural algorithm approach," in Proc. IEEE Congr. Evol. Comput., Washington, DC, 1999, vol. 3, pp. 1672-1678.
-
(1999)
Proc. IEEE Congr. Evol. Comput
, vol.3
, pp. 1672-1678
-
-
Jin, X.1
Reynolds, R.G.2
-
43
-
-
23044535050
-
An empirical comparison of particle swarm and predator prey optimization
-
A. Silva, A. Neves, and E. Costa, "An empirical comparison of particle swarm and predator prey optimization," Lecture Notes Comput. Sci. vol. 2464, pp. 103-110, 2002.
-
(2002)
Lecture Notes Comput. Sci
, vol.2464
, pp. 103-110
-
-
Silva, A.1
Neves, A.2
Costa, E.3
-
44
-
-
52949135344
-
A modified particle swarm optimizer for the coordination of directional overcurrent relays
-
Jul
-
M. Mansour, S. F. Mekhamer, and N. E.-S. El-Kharbawe, "A modified particle swarm optimizer for the coordination of directional overcurrent relays," IEEE Trans. Power Del., vol. 22, no. 3, pp. 1400-1410, Jul. 2007.
-
(2007)
IEEE Trans. Power Del
, vol.22
, Issue.3
, pp. 1400-1410
-
-
Mansour, M.1
Mekhamer, S.F.2
El-Kharbawe, N.E.-S.3
-
45
-
-
4243745059
-
Knowledge-based solution to dynamic optimization problems using cultural algorithms,
-
Ph.D. dissertation, Wayne State Univ, Detroit, MI
-
S. M. Saleem, "Knowledge-based solution to dynamic optimization problems using cultural algorithms," Ph.D. dissertation, Wayne State Univ., Detroit, MI, 2001.
-
(2001)
-
-
Saleem, S.M.1
-
46
-
-
0003093755
-
Predicting the Mackey-Glass time series with cascade-correlation learning
-
R. S. Cowder, "Predicting the Mackey-Glass time series with cascade-correlation learning," in Proc. 1990 Connectionist Models Summer School, pp. 117-123.
-
Proc. 1990 Connectionist Models Summer School
, pp. 117-123
-
-
Cowder, R.S.1
-
47
-
-
0042525889
-
A novel genetic-algorithm-based neural network for short-term load forecasting
-
Aug
-
S. H. Ling, F. H. F. Leung, H. K. Lam,Y. S. Lee, and P.K. S. Tam, "A novel genetic-algorithm-based neural network for short-term load forecasting," IEEE Trans. Ind. Electron., vol. 50, no. 4, pp. 793-799, Aug. 2003.
-
(2003)
IEEE Trans. Ind. Electron
, vol.50
, Issue.4
, pp. 793-799
-
-
Ling, S.H.1
Leung, F.H.F.2
Lam, H.K.3
Lee, Y.S.4
Tam, P.K.S.5
-
48
-
-
0025418210
-
The truck backer-upper: An example of self-learning in neural network
-
Apr
-
D. Nguyen and B. Widrow, "The truck backer-upper: An example of self-learning in neural network," IEEE Control Syst. Mag., vol. 10, no. 3, pp. 18-23, Apr. 1990.
-
(1990)
IEEE Control Syst. Mag
, vol.10
, Issue.3
, pp. 18-23
-
-
Nguyen, D.1
Widrow, B.2
-
49
-
-
1642311384
-
A GA-based neural fuzzy system for temperature control
-
Apr
-
C. J. Lin, "A GA-based neural fuzzy system for temperature control," Fuzzy Sets Syst., vol. 143, no. 2, pp. 311-333, Apr. 2004.
-
(2004)
Fuzzy Sets Syst
, vol.143
, Issue.2
, pp. 311-333
-
-
Lin, C.J.1
-
50
-
-
0026998481
-
A learning method of fuzzy inference rules by descent method
-
San Diego, CA, Mar
-
H. Nomura, I. Hayashi, and N. Wakami, "A learning method of fuzzy inference rules by descent method," in Proc. IEEE Conf. Fuzzy Syst. San Diego, CA, Mar. 1992, pp. 203-210.
-
(1992)
Proc. IEEE Conf. Fuzzy Syst
, pp. 203-210
-
-
Nomura, H.1
Hayashi, I.2
Wakami, N.3
-
51
-
-
0036530772
-
A fast and elitist multiobjective genetic algorithm: NSGA-II
-
Apr
-
K. Deb, A. Pratap, S. Agrawal, and T. Meyarian, "A fast and elitist multiobjective genetic algorithm: NSGA-II," IEEE Trans. Evol. Comput., vol. 6, no. 2, pp. 182-197, Apr. 2002.
-
(2002)
IEEE Trans. Evol. Comput
, vol.6
, Issue.2
, pp. 182-197
-
-
Deb, K.1
Pratap, A.2
Agrawal, S.3
Meyarian, T.4
-
52
-
-
33845912160
-
Identification of strategy parameters for particle swarm optimizer through Taguchi method
-
A. Khosla, S. Kumar, and K. K. Aggarwal, "Identification of strategy parameters for particle swarm optimizer through Taguchi method," J. Zhejiang Univ. Sci., vol. 7, no. 12, pp. 1989-1994, 2006.
-
(2006)
J. Zhejiang Univ. Sci
, vol.7
, Issue.12
, pp. 1989-1994
-
-
Khosla, A.1
Kumar, S.2
Aggarwal, K.K.3
|