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Publication search results
found 22 matches
- 2024
- Yuma Horaguchi, Kei Nishihara, Masaya Nakata:
Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems. Swarm Evol. Comput. 86: 101516 (2024) - 2017
- Milos Minarik, Lukás Sekanina:
On Evolutionary Approximation of Sigmoid Function for HW/SW Embedded Systems. EuroGP 2017: 343-358 - 2016
- Zdenek Vasícek, Vojtech Mrazek, Lukás Sekanina:
Evolutionary functional approximation of circuits implemented into FPGAs. SSCI 2016: 1-8 - 2015
- Stephan Hutterer, Michael Affenzeller:
Dynamic optimal power flow control with simulation-based evolutionary policy-function approximation. Int. J. Simul. Process. Model. 10(3): 294-305 (2015) - Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina:
Evolutionary Approximation of Software for Embedded Systems: Median Function. GECCO (Companion) 2015: 795-801 - 2012
- Dao Ngoc Phong, Nguyen Quang Uy, Nguyen Xuan Hoai, Robert I. McKay:
Evolving approximations for the Gaussian Q-function by Genetic Programming with semantic based crossover. IEEE Congress on Evolutionary Computation 2012: 1-6 - 2011
- Mohsen Davarynejad, Jelmer van Ast, Jos L. M. Vrancken, Jan van den Berg:
Evolutionary value function approximation. ADPRL 2011: 151-155 - 2010
- Yaochu Jin, Sanghoun Oh, Moongu Jeon:
Incremental approximation of nonlinear constraint functions for evolutionary constrained optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima:
Indicator-based evolutionary algorithm with hypervolume approximation by achievement scalarizing functions. GECCO 2010: 527-534 - 2009
- Hisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima:
Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimization. IEEE Congress on Evolutionary Computation 2009: 530-537 - Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu:
An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy. Foundations of Computational Intelligence (3) 2009: 315-346 - Ruxandra Stoean, Mike Preuss, Catalin Stoean, Elia El-Darzi, D. Dumitrescu:
An Evolutionary Approximation for the Coefficients of Decision Functions within a Support Vector Machine Learning Strategy. Foundations of Computational Intelligence (1) 2009: 83-114 - 2008
- Tetsuyuki Takahama, Setsuko Sakai:
Reducing function evaluations in Differential Evolution using rough approximation-based comparison. IEEE Congress on Evolutionary Computation 2008: 2307-2314 - 2006
- Shimon Whiteson, Peter Stone:
Evolutionary Function Approximation for Reinforcement Learning. J. Mach. Learn. Res. 7: 877-917 (2006) - Shimon Whiteson, Peter Stone:
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning. AAAI 2006: 518-523 - 2005
- Ali Hamzeh, Adel Rahmani:
An Evolutionary Function Approximation Approach to Compute Prediction in XCSF. ECML 2005: 584-592 - 2004
- Rommel G. Regis, Christine A. Shoemaker:
Local function approximation in evolutionary algorithms for the optimization of costly functions. IEEE Trans. Evol. Comput. 8(5): 490-505 (2004) - 2003
- Jesús González, Ignacio Rojas, Julio Ortega Lopera, Héctor Pomares, Francisco Javier Fernández-Baldomero, Antonio F. Díaz:
Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation. IEEE Trans. Neural Networks 14(6): 1478-1495 (2003) - 2002
- Jesús González, Ignacio Rojas, Héctor Pomares, Alberto Prieto, Karl Goser:
Evolutionary Training of Neuro-fuzzy Patches for Function Approximation. ICANN 2002: 559-564 - 2001
- Fernando Jiménez, Antonio Fernandez Gómez-Skarmeta, Johannes A. Roubos, Robert Babuska:
Accurate, Transparent, and Compact Fuzzy Models for Function Approximation and Dynamic Modeling through Multi-objective Evolutionary Optimization. EMO 2001: 653-667 - 1999
- Manuela Buzoianu, Florin Oltean, Alexandru Agapie:
Function Approximation Using Tensor Product Bernstein Polynomials-Neuro & Evolutionary Approaches. Fuzzy Days 1999: 625-631 - 1998
- Witold Kosinski, Martyna Weigl, Zbigniew Michalewicz:
Evolutionary Domain Covering of an Inference System for Function Approximation. Evolutionary Programming 1998: 167-178
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