Target shape design optimization by evolving B-splines with cooperative coevolution
暂无分享,去创建一个
Xin Yao | Bernhard Sendhoff | Zhenyu Yang | Ke Tang | B. Sendhoff | Zhenyu Yang | X. Yao | K. Tang
[1] César Hervás-Martínez,et al. COVNET: a cooperative coevolutionary model for evolving artificial neural networks , 2003, IEEE Trans. Neural Networks.
[2] Yaochu Jin,et al. Adaptive encoding for aerodynamic shape optimization using evolution strategies , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[3] Xin Yao,et al. Target shape design optimization by evolving splines , 2007, 2007 IEEE Congress on Evolutionary Computation.
[4] K. Giannakoglou,et al. Aerodynamic shape design using evolutionary algorithms and new gradient-assisted metamodels , 2006 .
[5] Qiuzhen Lin,et al. A novel hybrid multi-objective immune algorithm with adaptive differential evolution , 2015, Comput. Oper. Res..
[6] Les A. Piegl,et al. The NURBS Book , 1995, Monographs in Visual Communication.
[7] Tomasz Arciszewski,et al. Evolutionary computation and structural design: A survey of the state-of-the-art , 2005 .
[8] Qingfu Zhang,et al. Global path planning of wheeled robots using multi-objective memetic algorithms , 2015, Integr. Comput. Aided Eng..
[9] Bernhard Sendhoff,et al. Target shape design optimization with evolutionary computation , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[10] R. Paul Wiegand,et al. Biasing Coevolutionary Search for Optimal Multiagent Behaviors , 2006, IEEE Transactions on Evolutionary Computation.
[11] T Haftka Raphael,et al. Multidisciplinary aerospace design optimization: survey of recent developments , 1996 .
[12] Nikolaus Hansen,et al. Evaluating the CMA Evolution Strategy on Multimodal Test Functions , 2004, PPSN.
[13] Zhen Ji,et al. DNA Sequence Compression Using Adaptive Particle Swarm Optimization-Based Memetic Algorithm , 2011, IEEE Transactions on Evolutionary Computation.
[14] P. N. Suganthan,et al. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[15] Ahmad Faisal Mohamad Ayob,et al. A novel evolutionary approach for 2D shape matching based on B-spline modeling , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).
[16] Bernhard Sendhoff,et al. Morphing methods in evolutionary design optimization , 2005, GECCO '05.
[17] Hans-Paul Schwefel,et al. Evolution and optimum seeking , 1995, Sixth-generation computer technology series.
[18] Yuhui Shi,et al. Biomimicry of parasitic behavior in a coevolutionary particle swarm optimization algorithm for global optimization , 2015, Appl. Soft Comput..
[19] Bernhard Sendhoff,et al. Evolutionary Computation Benchmarking Repository , 2006 .
[20] Amir Hossein Gandomi,et al. Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems , 2011, Engineering with Computers.
[21] X. Yao,et al. Scaling up fast evolutionary programming with cooperative coevolution , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[22] Hans-Paul Schwefel,et al. Evolution and Optimum Seeking: The Sixth Generation , 1993 .
[23] Ponnuthurai N. Suganthan,et al. An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[24] Xin Yao,et al. Drift analysis and average time complexity of evolutionary algorithms , 2001, Artif. Intell..
[25] Mitchell A. Potter,et al. The design and analysis of a computational model of cooperative coevolution , 1997 .
[26] Xin Yao,et al. Self-adaptive differential evolution with neighborhood search , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[27] Xin Yao,et al. Evolutionary computation benchmarking repository [Developmental Tools] , 2006, IEEE Computational Intelligence Magazine.
[28] Bernhard Sendhoff,et al. Optimisation of a Stator Blade Used in a Transonic Compressor Cascade with Evolution Strategies , 2000 .
[29] Sean Luke,et al. Cooperative Multi-Agent Learning: The State of the Art , 2005, Autonomous Agents and Multi-Agent Systems.
[30] Markus Olhofer,et al. Advanced high turning compressor airfoils for low Reynolds number condition. Part I: Design and optimization , 2004 .
[31] Xin Yao,et al. Large scale evolutionary optimization using cooperative coevolution , 2008, Inf. Sci..
[32] Weicheng Xie,et al. A binary differential evolution algorithm learning from explored solutions , 2014, Neurocomputing.
[33] A Samareh Jamshid,et al. A Survey of Shape Parameterization Techniques , 1999 .
[34] Kalyanmoy Deb,et al. A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization , 2002, Evolutionary Computation.
[35] Bernhard Sendhoff,et al. A systems approach to evolutionary multiobjective structural optimization and beyond , 2009, IEEE Computational Intelligence Magazine.
[36] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[37] Nikolaus Hansen,et al. Completely Derandomized Self-Adaptation in Evolution Strategies , 2001, Evolutionary Computation.