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View all- Vendi VVerel SFonlupt C(2024)Sparse Surrogate Model for Optimization: Example of the Bus Stops Spacing ProblemEvolutionary Computation in Combinatorial Optimization10.1007/978-3-031-57712-3_2(16-32)Online publication date: 2024
Simulation optimisation: tutorial
Pages 862 - 889
References
[1]
Aizawa, A.N. and Wah, B. W. (1993). Dynamic control of genetic algorithms in a noisy environment. In International Conference on Genetic Algorithms, pp. 48--55
[2]
Arnold, D. V.; Beyer, H.-G. (2000). Efficiency and mutation strength adap-tation of the -ES in a noisy environment. In Parallel Problem Solving from Nature. LNCS 1917, Springer, pp. 39--48.
[3]
Ball, R.; Branke, J.; Meisel, S. (2017) Optimal Sampling for Simulated Annealing Under Noise. INFORMS Journal on Computing 30(1):200--215
[4]
Bartz-Beielstein, T.; Lasarczyk, C.; Preuß, M. (2005) Sequential parameter optimization. In: McKay B, et al (eds) Congress on Evolutionary Computation, IEEE Press, vol 1, pp. 773--780
[5]
Birattari, M.; Yuan, Z.; Balaprakash, P.; Stützle, T. (2010). F-Race and Iterated F-Race: An overview. In: Experimental Methods for the Analysis of Optimization Algorithms, pp. 311--336
[6]
Boesel, J.; Nelson, B. L.; Kim, S.-H. (2003). Using ranking and selection to clean up after simulation optimization. Operations Research 51(5):814--825
[7]
Branke, J. (2001) Reducing the sampling variance when searching for robust solutions, Genetic and Evolutionary Computation Conference, Morgan Kaufmann, pp. 235--242
[8]
Branke, J. (2001). Evolutionary optimization in dynamic environments. Kluwer
[9]
Branke, J.; Chick, S.; Schmidt, C. (2007). Selecting a selection procedure. Management Science 53(12):1916--1932
[10]
Branke, J.; Elomari, J. (2012). Meta-optimization for parameter tuning with a flexible computing budget. Genetic and Evolutionary Computation Conference, ACM, pp. 1245--1252
[11]
Branke, J.; Funes, P.; Thiele, F. (2007). Evolving en-route caching strategies for the Internet. Applied Soft Computing Journal 7(3):890--898
[12]
Branke, J.; Meisel, S.; Schmidt, C.(2008). Simulated annealing in the presence of noise. Journal of Heuristics 14:627--654
[13]
Branke, J.; Asafuddoula, M.; Bhattacharjee, K.; Ray, T. (2017) Efficient Use of Partially Converged Simulations in Evolutionary Optimization, IEEE Transactions on Evolutionary Computation 21(1):52--64
[14]
Chen, H.-C.; Lee, L.-H. (2011). Stochastic simulation optimization: an optimal computing budget allocation. World Scientific
[15]
Chick, S; Branke, J; Schmidt, C. (2010). Sequential sampling to myopically maximize the expected value of information". Informs Journal on Computing 22(1):71--80
[16]
Frazier, P.; Powell, W.; Dayanik, S.: The knowledge gradient policy for correlated normal beliefs. INFORMS Journal on Computing 21(4):599--613
[17]
Fu, M. (2002): Optimization for simulation: Theory vs. practice. Informs Journal on Computing 14(3):192--215
[18]
Fu, M. (ed., 2015): Handbook of Simulation Optimization. Springer
[19]
Hong, L.J.; Nelson, B.L. (2007). Selecting the best system when systems are revealed sequentially. IIE Transactions, 39:723--734
[20]
Huang, D.; Allen, TT.; Notz, WI.; Zeng, N. (2006) Global optimization of stochastic black-box systems via sequential kriging meta-models. Journal of Global Optimization 34(3):441--466
[21]
Jin, Y.; (2011) Surrogate-assisted evolutionary computation: Recent advances and future challenges. Swarm and Evolutionary Computation 1(2):61--70
[22]
Jin, Y.; Branke, J. (2005) Evolutionary optimization in uncertain environments - A survey. IEEE Transactions on Evolutionary Computation 9(3):303--318
[23]
Jones, D. R.; Schonlau, M.; Welch, W. J. (1998). Efficient global optimization of expensive black-box functions. Journal of Global Optimization 13:455--492
[24]
Law, A.; Kelton, W. D. (2001). Simulation Modeling and Analysis. McGraw Hill
[25]
Miller, B. L.; Goldberg, D. E. (1996). Genetic algorithms, selection schemes, and the varying effects of noise. Evolutionary Computation, 4(2):113--131
[26]
Schmidt, C.; Branke, J.; Chick, S. (2006). Integrating techniques from statistical ranking into evolutionary algorithms. Applications of Evolutionary Computation, Springer, LNCS 3907, pp. 753--762
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July 2019
2161 pages
ISBN:9781450367486
DOI:10.1145/3319619
- Editor:
- Manuel López-Ibáñez,
- General Chairs:
- Anne Auger,
- Thomas Stützle
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View all- Vendi VVerel SFonlupt C(2024)Sparse Surrogate Model for Optimization: Example of the Bus Stops Spacing ProblemEvolutionary Computation in Combinatorial Optimization10.1007/978-3-031-57712-3_2(16-32)Online publication date: 2024
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