Chapter 3 Surrogate-Assisted Evolutionary Computing Methods

[1]  Qingfu Zhang,et al.  A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems , 2014, IEEE Transactions on Evolutionary Computation.

[2]  T. Simpson,et al.  Comparative studies of metamodelling techniques under multiple modelling criteria , 2001 .

[3]  M Reyes Sierra,et al.  Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art , 2006 .

[4]  Alain Ratle,et al.  Kriging as a surrogate fitness landscape in evolutionary optimization , 2001, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[5]  Tapabrata Ray,et al.  A surrogate assisted parallel multiobjective evolutionary algorithm for robust engineering design , 2006 .

[6]  Russell R. Barton,et al.  Metamodels for simulation input-output relations , 1992, WSC '92.

[7]  Alberto Lovison,et al.  Adaptive sampling with a Lipschitz criterion for accurate metamodeling , 2010 .

[8]  Raphael T. Haftka,et al.  Surrogate-based Analysis and Optimization , 2005 .

[9]  Mohammad Bagher Menhaj,et al.  Training feedforward networks with the Marquardt algorithm , 1994, IEEE Trans. Neural Networks.

[10]  A. Keane,et al.  Evolutionary Optimization of Computationally Expensive Problems via Surrogate Modeling , 2003 .

[11]  Kok Wai Wong,et al.  Surrogate-Assisted Evolutionary Optimization Frameworks for High-Fidelity Engineering Design Problems , 2005 .

[12]  Xiaoyan Sun,et al.  A New Surrogate-Assisted Interactive Genetic Algorithm With Weighted Semisupervised Learning , 2013, IEEE Transactions on Cybernetics.

[13]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[14]  Bernard Widrow,et al.  Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[15]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..