Ricardo H. C. Takahashi

	2009
29		Ricardo H. C. Takahashi, Frederico G. Guimarães, Elizabeth F. Wanner, Eduardo G. Carrano: Feedback-Control Operators for Evolutionary Multiobjective Optimization. EMO 2009: 66-80
28		Flávio V. C. Martins, Eduardo G. Carrano, Elizabeth F. Wanner, Ricardo H. C. Takahashi, Geraldo R. Mateus: Hybrid multiobjective approach for designing wireless sensor networks. MSWiM 2009: 321-324
	2008
27		Flávio V. C. Martins, Eduardo G. Carrano, Elizabeth F. Wanner, Ricardo H. C. Takahashi: The micro-genetic operator in the search of global trends. GECCO 2008: 1125-1126
26		Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H. C. Takahashi: Coordinate change operators for genetic algorithms. GECCO 2008: 1149-1150
25		Eduardo G. Carrano, Ricardo H. C. Takahashi, Elizabeth F. Wanner: An enhanced statistical approach for evolutionary algorithm comparison. GECCO 2008: 897-904
24		Eduardo G. Carrano, Bruno B. Souza, Oriane M. Neto, Ricardo H. C. Takahashi: An Immune Inspired Memetic Algorithm for power distribution system design under load evolution uncertainties. IEEE Congress on Evolutionary Computation 2008: 3252-3258
23		Eduardo G. Carrano, Ricardo H. C. Takahashi, Walmir M. Caminhas, Oriane M. Neto: A genetic algorithm for multiobjective training of ANFIS fuzzy networks. IEEE Congress on Evolutionary Computation 2008: 3259-3265
22		Rosangela Helena Loschi, Frederico R. B. Cruz, Ricardo H. C. Takahashi, Pilar Loreto Iglesias, Reinaldo Boris Arellano-Valle, James MacGregor Smith: A note on Bayesian identification of change points in data sequences. Computers & OR 35(1): 156-170 (2008)
21		Elizabeth F. Wanner, Frederico G. Guimarães, Ricardo H. C. Takahashi, Peter J. Fleming: Local Search with Quadratic Approximations into Memetic Algorithms for Optimization with Multiple Criteria. Evolutionary Computation 16(2): 185-224 (2008)
20		Douglas A. G. Vieira, Ricardo H. C. Takahashi, Vasile Palade, João A. Vasconcelos, Walmir M. Caminhas: The Q -Norm Complexity Measure and the Minimum Gradient Method: A Novel Approach to the Machine Learning Structural Risk Minimization Problem. IEEE Transactions on Neural Networks 19(8): 1415-1430 (2008)
	2007
19		Talles H. Medeiros, Ricardo H. C. Takahashi, Antônio P. Braga: A new decision strategy in multi-objective training of the artificial neural networks. ESANN 2007: 555-560
18		Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Rodney R. Saldanha, Ricardo H. C. Takahashi, Talles Henrique de Medeiros: The Usage of Golden Section in Calculating the Efficient Solution in Artificial Neural Networks Training by Multi-objective Optimization. ICANN (1) 2007: 289-298
17		Gustavo Peconick, Elizabeth F. Wanner, Ricardo H. C. Takahashi: Projection-based local search operator for multiple equality constraints within genetic algorithms. IEEE Congress on Evolutionary Computation 2007: 3043-3049
16		André R. da Cruz, Rodrigo T. N. Cardoso, Elizabeth F. Wanner, Ricardo H. C. Takahashi: A multiobjective non-linear dynamic programming approach for optimal biological control in soy farming via NSGA-II. IEEE Congress on Evolutionary Computation 2007: 3093-3099
15		Vinicius L. S. Silva, Elizabeth F. Wanner, Sergio A. A. Cerqueira, Ricardo H. C. Takahashi: A new performance metric for multiobjective optimization: the integrated sphere counting. IEEE Congress on Evolutionary Computation 2007: 3625-3630
14		Elizabeth F. Wanner, Frederico G. Guimarães, Ricardo H. C. Takahashi, Peter J. Fleming: Local search with quadratic approximation in Genetic Algorithms for expensive optimization problems. IEEE Congress on Evolutionary Computation 2007: 677-683
13		Eduardo G. Carrano, Carlos M. Fonseca, Ricardo H. C. Takahashi, Luciano C. A. Pimenta, Oriane M. Neto: A preliminary comparison of tree encoding schemes for evolutionary algorithms. SMC 2007: 1969-1974
12		Luiz Duczmal, André L. F. Cançado, Ricardo H. C. Takahashi, Lupércio F. Bessegato: A genetic algorithm for irregularly shaped spatial scan statistics. Computational Statistics & Data Analysis 52(1): 43-52 (2007)
	2006
11		Eduardo G. Carrano, Ricardo H. C. Takahashi, Carlos M. Fonseca, Oriane M. Neto: Bi-objective Combined Facility Location and Network Design. EMO 2006: 486-500
10		Luiz Duczmal, André L. F. Cançado, Ricardo H. C. Takahashi: Geographic Delineation of Disease Clusters through Multi-Objective Optimization. GeoInfo 2006: 137-154
9		Antônio de Pádua Braga, Ricardo H. C. Takahashi, Marcelo Azevedo Costa, Roselito de Albuquerque Teixeira: Multi-Objective Algorithms for Neural Networks Learning. Multi-Objective Machine Learning 2006: 151-171
8		Eduardo N. Gonçalves, Reinaldo M. Palhares, Ricardo H. C. Takahashi, Renato C. Mesquita: Algorithm 860: SimpleS---an extension of Freudenthal's simplex subdivision. ACM Trans. Math. Softw. 32(4): 609-621 (2006)
7		Eduardo N. Gonçalves, Reinaldo M. Palhares, Ricardo H. C. Takahashi: H2/Hinfinity filter design for systems with polytope-bounded uncertainty. IEEE Transactions on Signal Processing 54(9): 3620-3626 (2006)
	2005
6		Elizabeth F. Wanner, Frederico G. Guimarães, Rodney R. Saldanha, Ricardo H. C. Takahashi, Peter J. Fleming: Constraint quadratic approximation operator for treating equality constraints with genetic algorithms. Congress on Evolutionary Computation 2005: 2255-2262
	2003
5		Erivelton G. Nepomuceno, Ricardo H. C. Takahashi, Gleison F. V. Amaral, Luis Antonio Aguirre: Nonlinear Identification Using Prior Knowledge of Fixed Points: a Multiobjective Approach. I. J. Bifurcation and Chaos 13(5): 1229-1246 (2003)
	2002
4		Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha: Decisior Implementation in Neural Model Selection by Multi-objective Optimization. SBRN 2002: 234
	2001
3		Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha: Recent Advances in the MOBJ Algorithm for Training Artifical Neural Networks. Int. J. Neural Syst. 11(3): 265-270 (2001)
	2000
2		Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha: A Multi-Objective Optimization Approach for Training Artificial Neural Networks. SBRN 2000: 168-172
1		Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha: Improving generalization of MLPs with multi-objective optimization. Neurocomputing 35(1-4): 189-194 (2000)

Coauthor Index

1	Luis Antonio Aguirre	[5]
2	Gleison F. V. Amaral	[5]
3	Reinaldo Boris Arellano-Valle	[22]
4	Lupércio F. Bessegato	[12]
5	Antônio P. Braga	[19]
6	Antônio de Pádua Braga	[1] [2] [3] [4] [9] [18]
7	Walmir M. Caminhas	[20] [23]
8	André L. F. Cançado	[10] [12]
9	Rodrigo T. N. Cardoso	[16]
10	Eduardo G. Carrano	[11] [13] [23] [24] [25] [26] [27] [28] [29]
11	Sergio A. A. Cerqueira	[15]
12	Marcelo Azevedo Costa	[9]
13	André R. da Cruz	[16]
14	Frederico R. B. Cruz	[22]
15	Luiz Duczmal	[10] [12]
16	Peter J. Fleming	[6] [14] [21]
17	Carlos M. Fonseca	[11] [13]
18	Eduardo N. Gonçalves	[7] [8]
19	Frederico G. Guimarães	[6] [14] [21] [29]
20	Pilar Loreto Iglesias	[22]
21	Rosangela Helena Loschi	[22]
22	Flávio V. C. Martins	[27] [28]
23	Geraldo R. Mateus	[28]
24	Talles H. Medeiros	[19]
25	Talles Henrique de Medeiros	[18]
26	Renato C. Mesquita	[8]
27	Erivelton G. Nepomuceno	[5]
28	Oriane M. Neto	[11] [13] [23] [24]
29	Vasile Palade	[20]
30	Reinaldo M. Palhares	[7] [8]
31	Gustavo Peconick	[17]
32	Luciano C. A. Pimenta	[13]
33	Rodney R. Saldanha	[1] [2] [3] [4] [6] [18]
34	Vinicius L. S. Silva	[15]
35	James MacGregor Smith (J. MacGregor Smith)	[22]
36	Bruno B. Souza	[24]
37	Roselito de Albuquerque Teixeira	[1] [2] [3] [4] [9] [18]
38	João A. Vasconcelos	[20]
39	Douglas A. G. Vieira	[20]
40	Elizabeth F. Wanner	[6] [14] [15] [16] [17] [21] [25] [26] [27] [28] [29]

Colors in the list of coauthors