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ORCIDJürgen Branke
Juergen Branke
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- affiliation: University of Warwick, Coventry, UK
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2020 – today
- 2024
[j62]Robin C. Ball
, Juergen Branke, Stephan Meisel:
Re-use of samples in stochastic annealing. Comput. Oper. Res. 164: 106543 (2024)- [j61]Juan Ungredda, Juergen Branke:
Bayesian Optimisation for Constrained Problems. ACM Trans. Model. Comput. Simul. 34(2): 9:1-9:26 (2024) - [c109]Juergen Branke, Sebastian Rojas-Gonzalez, Ivo Couckuyt:
Bayesian Optimization. GECCO Companion 2024: 772-790 - [c108]Danial Yazdani, Juergen Branke, Mohammad Sadegh Khorshidi, Mohammad Nabi Omidvar, Xiaodong Li, Amir H. Gandomi, Xin Yao:
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes. GECCO 2024 - [i26]Danial Yazdani, Jürgen Branke, Mohammad Sadegh Khorshidi, Mohammad Nabi Omidvar, Xiaodong Li, Amir H. Gandomi, Xin Yao:
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes. CoRR abs/2402.15731 (2024) - [i25]Phurinut Srisawad, Juergen Branke, Long Tran-Thanh:
Identifying the Best Arm in the Presence of Global Environment Shifts. CoRR abs/2408.12581 (2024) - [i24]Jack M. Buckingham, Ivo Couckuyt, Juergen Branke:
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems. CoRR abs/2408.17387 (2024) - 2023
- [j60]Merve Keskin, Jürgen Branke, Vladimir G. Deineko, Arne K. Strauss:
Dynamic multi-period vehicle routing with touting. Eur. J. Oper. Res. 310(1): 168-184 (2023) - [j59]Yikai Ma, Wenjuan Zhang, Jürgen Branke:
Multi-objective optimisation of multifaceted maintenance strategies for wind farms. J. Oper. Res. Soc. 74(5): 1362-1377 (2023) - [j58]Danial Yazdani, Donya Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Amir Hossein Gandomi, Xin Yao:
Robust Optimization Over Time by Estimating Robustness of Promising Regions. IEEE Trans. Evol. Comput. 27(3): 657-670 (2023) - [j57]Florian Karl, Tobias Pielok, Julia Moosbauer, Florian Pfisterer, Stefan Coors, Martin Binder, Lennart Schneider, Janek Thomas, Jakob Richter, Michel Lang, Eduardo C. Garrido-Merchán, Jürgen Branke, Bernd Bischl:
Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview. ACM Trans. Evol. Learn. Optim. 3(4): 16:1-16:50 (2023) - [c107]Ivo Couckuyt, Sebastian Rojas-Gonzalez, Jürgen Branke, Bernd Bischl:
Bayesian Optimization. GECCO Companion 2023: 895-912 - [c106]Paul Kent, Jürgen Branke:
Bayesian Quality Diversity Search with Interactive Illumination. GECCO 2023: 1019-1026 - [c105]Juan Ungredda, Jürgen Branke:
When to Elicit Preferences in Multi-Objective Bayesian Optimization. GECCO Companion 2023: 1997-2003 - [c104]George Watkins, Giovanni Montana, Jürgen Branke:
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks. LION 2023: 491-505 - [i23]Jack M. Buckingham, Sebastian Rojas-Gonzalez, Jürgen Branke:
Bayesian Optimization of Multiple Objectives with Different Latencies. CoRR abs/2302.01310 (2023) - [i22]George Watkins, Giovanni Montana, Jürgen Branke:
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks. CoRR abs/2304.04051 (2023) - [i21]Mai Peng, Zeneng She, Delaram Yazdani, Danial Yazdani, Wenjian Luo, Changhe Li, Jürgen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Yaochu Jin, Xin Yao:
Evolutionary Dynamic Optimization Laboratory: A MATLAB Optimization Platform for Education and Experimentation in Dynamic Environments. CoRR abs/2308.12644 (2023) - 2022
- [j56]Michael Pearce, Matthias Poloczek, Jürgen Branke:
Bayesian Optimization Allowing for Common Random Numbers. Oper. Res. 70(6): 3457-3472 (2022) - [j55]Danial Yazdani, Mohammad Nabi Omidvar, Ran Cheng, Jürgen Branke, Trung Thanh Nguyen, Xin Yao:
Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite. IEEE Trans. Cybern. 52(5): 3380-3393 (2022) - [j54]Danial Yazdani, Ran Cheng, Cheng He, Jürgen Branke:
Adaptive Control of Subpopulations in Evolutionary Dynamic Optimization. IEEE Trans. Cybern. 52(7): 6476-6489 (2022) - [j53]Chen Wang, Hui Ma, Gang Chen, Sven Hartmann, Jürgen Branke:
Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 77-92 (2022) - [j52]Juan Ungredda, Michael Pearce, Jürgen Branke:
Bayesian Optimisation vs. Input Uncertainty Reduction. ACM Trans. Model. Comput. Simul. 32(3): 17:1-17:26 (2022) - [c103]Lennart Schneider, Florian Pfisterer, Paul Kent, Jürgen Branke, Bernd Bischl, Janek Thomas:
Tackling Neural Architecture Search With Quality Diversity Optimization. AutoML 2022: 9/1-30 - [c102]Federico Peralta, Michael Pearce, Matthias Poloczek, Daniel Gutiérrez-Reina, Sergio Toral, Jürgen Branke:
Multi-objective path planning for environmental monitoring using an autonomous surface vehicle. GECCO Companion 2022: 747-750 - [c101]Ivo Couckuyt, Sebastian Rojas-Gonzalez, Jürgen Branke:
Bayesian optimization: tutorial. GECCO Companion 2022: 843-863 - [c100]Paul Kent, Jürgen Branke, Adam Gaier, Jean-Baptiste Mouret:
A discretization-free metric for assessing quality diversity algorithms. GECCO Companion 2022: 2131-2135 - [c99]Arash Heidari, Jixiang Qing, Sebastian Rojas-Gonzalez, Jürgen Branke, Tom Dhaene, Ivo Couckuyt:
Finding Knees in Bayesian Multi-objective Optimization. PPSN (1) 2022: 104-117 - [c98]Juan Ungredda, Jürgen Branke, Mariapia Marchi, Teresa Montrone:
Single Interaction Multi-Objective Bayesian Optimization. PPSN (1) 2022: 132-145 - [c97]Hemant Kumar Singh, Jürgen Branke:
Identifying Stochastically Non-dominated Solutions Using Evolutionary Computation. PPSN (2) 2022: 193-206 - [i20]Florian Karl, Tobias Pielok, Julia Moosbauer, Florian Pfisterer, Stefan Coors, Martin Binder, Lennart Schneider, Janek Thomas, Jakob Richter, Michel Lang, Eduardo C. Garrido-Merchán, Jürgen Branke, Bernd Bischl:
Multi-Objective Hyperparameter Optimization - An Overview. CoRR abs/2206.07438 (2022) - [i19]Lennart Schneider, Florian Pfisterer, Paul Kent, Jürgen Branke, Bernd Bischl, Janek Thomas:
Tackling Neural Architecture Search With Quality Diversity Optimization. CoRR abs/2208.00204 (2022) - [i18]Sebastian Rojas-Gonzalez, Jürgen Branke, Inneke Van Nieuwenhuyse:
Multiobjective Ranking and Selection Using Stochastic Kriging. CoRR abs/2209.03919 (2022) - [i17]Juan Ungredda, Michael Pearce, Jürgen Branke:
Efficient computation of the Knowledge Gradient for Bayesian Optimization. CoRR abs/2209.15367 (2022) - 2021
- [j51]Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao:
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part A. IEEE Trans. Evol. Comput. 25(4): 609-629 (2021) - [j50]Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao:
A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades - Part B. IEEE Trans. Evol. Comput. 25(4): 630-650 (2021) - [j49]Jürgen Branke, Darrell Whitley:
ACM Transactions on Evolutionary Learning and Optimization Inaugural Issue Editorial. ACM Trans. Evol. Learn. Optim. 1(1): 1e:1-1e:2 (2021) - [j48]Manuel López-Ibáñez, Jürgen Branke, Luís Paquete:
Reproducibility in Evolutionary Computation. ACM Trans. Evol. Learn. Optim. 1(4): 14:1-14:21 (2021) - [c96]Juan Ungredda, Jürgen Branke, Mariapia Marchi, Teresa Montrone:
One step preference elicitation in multi-objective Bayesian optimization. GECCO Companion 2021: 195-196 - [c95]Simon J. E. Taylor, Young-Jun Son, Jürgen Branke, Oliver Rose, Susan M. Sanchez:
Using Simulation and Artificial Intelligence to Innovate: Are We Getting Even Smarter? WSC 2021: 1-9 - [i16]Manuel López-Ibáñez, Jürgen Branke, Luís Paquete:
Reproducibility in Evolutionary Computation. CoRR abs/2102.03380 (2021) - [i15]Juan Ungredda, Jürgen Branke:
Bayesian Optimisation for Constrained Problems. CoRR abs/2105.13245 (2021) - [i14]Juan Ungredda, Mariapia Marchi, Teresa Montrone, Jürgen Branke:
One Step Preference Elicitation in Multi-Objective Bayesian Optimization. CoRR abs/2105.13278 (2021) - [i13]Danial Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Changhe Li, Michalis Mavrovouniotis, Trung Thanh Nguyen, Shengxiang Yang, Xin Yao:
Generalized Moving Peaks Benchmark. CoRR abs/2106.06174 (2021) - [i12]Mohammad Nabi Omidvar, Danial Yazdani, Jürgen Branke, Xiaodong Li, Shengxiang Yang, Xin Yao:
Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark. CoRR abs/2107.11019 (2021) - 2020
- [j47]Elvan Gökalp, Jürgen Branke:
Pharmaceutical R & D pipeline management under trial duration uncertainty. Comput. Chem. Eng. 136: 106782 (2020) - [j46]Jordan MacLachlan, Yi Mei, Jürgen Branke, Mengjie Zhang:
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems. Evol. Comput. 28(4): 563-593 (2020) - [j45]Danial Yazdani, Mohammad Nabi Omidvar, Jürgen Branke, Trung Thanh Nguyen, Xin Yao:
Scaling Up Dynamic Optimization Problems: A Divide-and-Conquer Approach. IEEE Trans. Evol. Comput. 24(1): 1-15 (2020) - [c94]Hoai Phuong Le, Jürgen Branke:
Bayesian Optimization Searching for Robust Solutions. WSC 2020: 2844-2855 - [i11]Paul Kent, Jürgen Branke:
BOP-Elites, a Bayesian Optimisation algorithm for Quality-Diversity search. CoRR abs/2005.04320 (2020) - [i10]Juan Ungredda, Michael Pearce, Jürgen Branke:
Bayesian Optimisation vs. Input Uncertainty Reduction. CoRR abs/2006.00643 (2020) - [i9]Matthew J. Groves, Jürgen Branke:
Exploiting Transitivity for Top-k Selection with Score-Based Dueling Bandits. CoRR abs/2012.15637 (2020)
2010 – 2019
- 2019
- [j44]Folarin B. Oyebolu, Richard Allmendinger, Suzanne S. Farid, Jürgen Branke:
Dynamic scheduling of multi-product continuous biopharmaceutical facilities: A hyper-heuristic framework. Comput. Chem. Eng. 125: 71-88 (2019) - [j43]Matthew J. Groves, Jürgen Branke:
Top-κ selection with pairwise comparisons. Eur. J. Oper. Res. 274(2): 615-626 (2019) - [j42]Xin Fei, Nalan Gülpinar, Jürgen Branke:
Efficient solution selection for two-stage stochastic programs. Eur. J. Oper. Res. 277(3): 918-929 (2019) - [j41]Jürgen Branke, Wen Zhang:
Identifying efficient solutions via simulation: myopic multi-objective budget allocation for the bi-objective case. OR Spectr. 41(3): 831-865 (2019) - [j40]Danial Yazdani, Trung Thanh Nguyen, Jürgen Branke:
Robust Optimization Over Time by Learning Problem Space Characteristics. IEEE Trans. Evol. Comput. 23(1): 143-155 (2019) - [j39]Xin Fei, Jürgen Branke, Nalan Gülpinar:
New Sampling Strategies When Searching for Robust Solutions. IEEE Trans. Evol. Comput. 23(2): 273-287 (2019) - [c93]Jürgen Branke:
Simulation optimisation: tutorial. GECCO (Companion) 2019: 862-889 - [c92]Sebastian Rojas-Gonzalez, Jürgen Branke, Inneke Van Nieuwenhuyse:
Multiobjective Ranking and Selection with Correlation and Heteroscedastic Noise. WSC 2019: 3392-3403 - [c91]Michael Pearce, Matthias Poloczek, Jürgen Branke:
Bayesian Simulation Optimization with Common Random Numbers. WSC 2019: 3492-3503 - [i8]Michael Pearce, Matthias Poloczek, Jürgen Branke:
Bayesian Optimization Allowing for Common Random Numbers. CoRR abs/1910.09259 (2019) - [i7]Jordan MacLachlan, Yi Mei, Jürgen Branke, Mengjie Zhang:
Genetic Programming Hyper-Heuristics with Vehicle Collaboration for Uncertain Capacitated Arc Routing Problems. CoRR abs/1911.08650 (2019) - 2018
- [j38]Douglas Moura Miranda, Jürgen Branke, Samuel Vieira Conceição:
Algorithms for the multi-objective vehicle routing problem with hard time windows and stochastic travel time and service time. Appl. Soft Comput. 70: 66-79 (2018) - [j37]Nalan Gülpinar, Ethem Çanakoglu, Jürgen Branke:
Heuristics for the stochastic dynamic task-resource allocation problem with retry opportunities. Eur. J. Oper. Res. 266(1): 291-303 (2018) - [j36]Michael Pearce, Jürgen Branke:
Continuous multi-task Bayesian Optimisation with correlation. Eur. J. Oper. Res. 270(3): 1074-1085 (2018) - [j35]Rinde R. S. van Lon, Jürgen Branke, Tom Holvoet:
Optimizing agents with genetic programming: an evaluation of hyper-heuristics in dynamic real-time logistics. Genet. Program. Evolvable Mach. 19(1-2): 93-120 (2018) - [j34]Robin C. Ball, Jürgen Branke, Stephan Meisel:
Optimal Sampling for Simulated Annealing Under Noise. INFORMS J. Comput. 30(1): 200-215 (2018) - [c90]Jordan MacLachlan, Yi Mei, Jürgen Branke, Mengjie Zhang:
An Improved Genetic Programming Hyper-Heuristic for the Uncertain Capacitated Arc Routing Problem. Australasian Conference on Artificial Intelligence 2018: 432-444 - [c89]Danial Yazdani, Trung Thanh Nguyen, Jürgen Branke, Jin Wang:
A Multi-objective Time-Linkage Approach for Dynamic Optimization Problems with Previous-Solution Displacement Restriction. EvoApplications 2018: 864-878 - [c88]Jürgen Branke:
Simulation optimisation: tutorial. GECCO (Companion) 2018: 745-772 - [c87]Matthew J. Groves, Jürgen Branke:
Sequential sampling for noisy optimisation with CMA-ES. GECCO 2018: 1023-1030 - [c86]Danial Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Trung Thanh Nguyen, Xin Yao:
Changing or keeping solutions in dynamic optimization problems with switching costs. GECCO 2018: 1095-1102 - [c85]Matthew J. Groves, Michael Pearce, Jürgen Branke:
On Parallelizing Multi-Task Bayesian Optimization. WSC 2018: 1993-2002 - 2017
- [j33]Jürgen Branke, Salvatore Corrente, Salvatore Greco, Walter J. Gutjahr:
Efficient pairwise preference elicitation allowing for indifference. Comput. Oper. Res. 88: 175-186 (2017) - [j32]Folarin B. Oyebolu, Jeroen van Lidth de Jeude, Cyrus Siganporia, Suzanne S. Farid, Richard Allmendinger, Jürgen Branke:
A new lot sizing and scheduling heuristic for multi-site biopharmaceutical production. J. Heuristics 23(4): 231-256 (2017) - [j31]Jürgen Branke, Md. Asafuddoula, Kalyan Shankar Bhattacharjee, Tapabrata Ray:
Efficient Use of Partially Converged Simulations in Evolutionary Optimization. IEEE Trans. Evol. Comput. 21(1): 52-64 (2017) - [c84]Danial Yazdani, Trung Thanh Nguyen, Jürgen Branke, Jin Wang:
A New Multi-swarm Particle Swarm Optimization for Robust Optimization Over Time. EvoApplications (2) 2017: 99-109 - [c83]Samineh Bagheri, Wolfgang Konen, Richard Allmendinger, Jürgen Branke, Kalyanmoy Deb, Jonathan E. Fieldsend, Domenico Quagliarella, Karthik Sindhya:
Constraint handling in efficient global optimization. GECCO 2017: 673-680 - [c82]Michael Pearce, Jürgen Branke:
Efficient expected improvement estimation for continuous multiple ranking and selection. WSC 2017: 2161-2172 - [c81]Michael Pearce, Jürgen Branke:
Bayesian simulation optimization with input uncertainty. WSC 2017: 2268-2278 - [r4]Jürgen Branke:
Artificial Societies. Encyclopedia of Machine Learning and Data Mining 2017: 66-70 - 2016
- [j30]Jürgen Branke, Salvatore Corrente, Salvatore Greco, Roman Slowinski, Piotr Zielniewicz:
Using Choquet integral as preference model in interactive evolutionary multiobjective optimization. Eur. J. Oper. Res. 250(3): 884-901 (2016) - [j29]Jürgen Branke, Su Nguyen, Christoph W. Pickardt, Mengjie Zhang:
Automated Design of Production Scheduling Heuristics: A Review. IEEE Trans. Evol. Comput. 20(1): 110-124 (2016) - [c80]Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray, Jürgen Branke:
Multiple surrogate assisted multiobjective optimization using improved pre-selection. CEC 2016: 4328-4335 - [c79]Jürgen Branke:
Simulation Optimisation: Tutorial. GECCO (Companion) 2016: 663-686 - [c78]Jürgen Branke, Xin Fei:
Efficient Sampling When Searching for Robust Solutions. PPSN 2016: 237-246 - [c77]Ke Lu, Jürgen Branke, Tapabrata Ray:
Improving Efficiency of Bi-level Worst Case Optimization. PPSN 2016: 410-420 - [c76]Jürgen Branke, Wen Zhang, Yang Tao:
Multio-bjective ranking and selection based on hypervolume. WSC 2016: 859-870 - [c75]Jürgen Branke, Matthew J. Groves, Torsten Hildebrandt:
Evolving control rules for a dual-constrained job scheduling scenario. WSC 2016: 2568-2579 - 2015
- [j28]Jürgen Branke, Torsten Hildebrandt, Bernd Scholz-Reiter:
Hyper-heuristic Evolution of Dispatching Rules: A Comparison of Rule Representations. Evol. Comput. 23(2): 249-277 (2015) - [j27]Torsten Hildebrandt, Jürgen Branke:
On Using Surrogates with Genetic Programming. Evol. Comput. 23(3): 343-367 (2015) - [j26]G. Jake LaPorte, Jürgen Branke, Chun-Hung Chen:
Adaptive Parent Population Sizing in Evolution Strategies. Evol. Comput. 23(3): 397-420 (2015) - [j25]Sergio Morales-Enciso, Jürgen Branke:
Tracking global optima in dynamic environments with efficient global optimization. Eur. J. Oper. Res. 242(3): 744-755 (2015) - [j24]Jürgen Branke, Salvatore Greco, Roman Slowinski, Piotr Zielniewicz:
Learning Value Functions in Interactive Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 19(1): 88-102 (2015) - [c74]Jürgen Branke, Salvatore Corrente, Salvatore Greco, Walter J. Gutjahr:
Using Indifference Information in Robust Ordinal Regression. EMO (2) 2015: 205-217 - [c73]Jürgen Branke, Ke Lu:
Finding the Trade-off between Robustness and Worst-case Quality. GECCO 2015: 623-630 - [c72]Jürgen Branke, Wen Zhang:
A new myopic sequential sampling algorithm for multi-objective problems. WSC 2015: 3589-3598 - 2014
- [j23]Thomas Bartz-Beielstein, Jürgen Branke, Jörn Mehnen, Olaf Mersmann:
Evolutionary Algorithms. WIREs Data Mining Knowl. Discov. 4(3): 178-195 (2014) - [e13]Thomas Bartz-Beielstein, Jürgen Branke, Bogdan Filipic, Jim Smith:
Parallel Problem Solving from Nature - PPSN XIII - 13th International Conference, Ljubljana, Slovenia, September 13-17, 2014. Proceedings. Lecture Notes in Computer Science 8672, Springer 2014, ISBN 978-3-319-10761-5 [contents] - 2013
- [j22]Sabine Helwig, Jürgen Branke, Sanaz Mostaghim:
Experimental Analysis of Bound Handling Techniques in Particle Swarm Optimization. IEEE Trans. Evol. Comput. 17(2): 259-271 (2013) - [c71]Jürgen Branke:
Evolutionary Multiobjective Optimization and Uncertainty - (Abstract of Invited Talk). EMO 2013: 2 - [c70]Jürgen Branke, Jawad Elomari:
Racing with a Fixed Budget and a Self-Adaptive Significance Level. LION 2013: 272-280 - [c69]Sergio Morales-Enciso, Jürgen Branke:
Response Surfaces with Discounted Information for Global Optima Tracking in Dynamic Environments. NICSO 2013: 57-69 - 2012
- [j21]Trung Thanh Nguyen, Shengxiang Yang, Jürgen Branke:
Evolutionary dynamic optimization: A survey of the state of the art. Swarm Evol. Comput. 6: 1-24 (2012) - [c68]Rinde R. S. van Lon, Tom Holvoet, Greet Vanden Berghe, Tom Wenseleers, Jürgen Branke:
Evolutionary synthesis of multi-agent systems for dynamic dial-a-ride problems. GECCO (Companion) 2012: 331-336 - [c67]Jürgen Branke, Jawad Asem Elomari:
Meta-optimization for parameter tuning with a flexible computing budget. GECCO 2012: 1245-1252 - [c66]Nayyar Almas Kazmi, Arie M. C. A. Koster, Jürgen Branke:
Formulations and algorithms for the multi-path selection problem in network routing. ICUMT 2012: 738-744 - [c65]Holger Prothmann, Sven Tomforde, Johannes Lyda, Jürgen Branke, Jörg Hähner, Christian Müller-Schloer, Hartmut Schmeck:
Self-Organised Routing for Road Networks. IWSOS 2012: 48-59 - [c64]Sergio Morales-Enciso, Jürgen Branke:
Revenue maximization through dynamic pricing under unknown market behaviour. SCOR 2012: 11-20 - [c63]G. Jake LaPorte, Jürgen Branke, Chun-Hung Chen:
Optimal computing budget allocation for small computing budgets. WSC 2012: 292:1-292:13 - 2011
- [j20]Jürgen Branke, Christoph W. Pickardt:
Evolutionary search for difficult problem instances to support the design of job shop dispatching rules. Eur. J. Oper. Res. 212(1): 22-32 (2011) - [c62]Jürgen Branke, Jawad Elomari:
Simultaneous tuning of metaheuristic parameters for various computing budgets. GECCO (Companion) 2011: 263-264 - [c61]