Fetching the paper…
Reading the bibliography…
Several test function suites are being used for numerical benchmarking of multiobjective optimization algorithms.
A Variant of Evolution Strategies for Vector Optimization
Kursawe, F. (1991) · 1991
Earlier work this paper cites.
An Overview of Evolutionary Algorithms in Multiobjective Optimization
Fonseca, C. M. and Fleming, P. J. (1995) · 1995
Earlier work this paper cites.
Multiobjective evolutionary algorithm research: A history and analysis
Van Veldhuizen, D. A. and Lamont, G. B. (1998) · 1998
Earlier work this paper cites.
Moea test suite generation, design & use
Van Veldhuizen, D. A. and Lamont, G. B. (1999a) · 1999
Earlier work this paper cites.
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Zitzler, E., Deb, K., and Thiele, L. (2000) · 2000
Earlier work this paper cites.
Multi-Objective Optimization Using Evolutionary Algorithms
Deb, K. (2001) · 2001
Earlier work this paper cites.
Evolutionary algorithms for multi-objective optimization: Performance assessments and comparisons
Tan, K. C., Lee, T. H., and Khor, E. F. (2002) · 2002
Earlier work this paper cites.
Performance Assessment of Multiobjective Optimizers: An Analysis and Review
Zitzler, E., Thiele, L., Laumanns, M., Fonseca, C. M., and Grunert da Fonseca, V. (2003) · 2003
Cited alongside, same era.
Scalable Test Problems for Evolutionary Multi-Objective Optimization
Deb, K., Thiele, L., Laumanns, M., and Zitzler, E. (2005) · 2005
Cited alongside, same era.
CUTEr and SifDec: A Constrained and Unconstrained Testing Environment, revisited
Gould, N. I. M., Orban, D., and Toint, P. L. (2005) · 2005
Cited alongside, same era.
A Review of Multiobjective Test Problems and a Scalable Test Problem Toolkit
Huband, S., Hingston, P., Barone, L., and While, L. (2006) · 2006
Cited alongside, same era.
Problem Definitions for Performance Assessment of Multi-objective Optimization Algorithms
Huang, V. L., Qin, A. K., Deb, K., Zitzler, E., Suganthan, P. N., Liang, J. J., Preuss, M., and Huband, S. (2007) · 2007
Cited alongside, same era.
Multiobjective Optimization Test Instances for the CEC 2009 Special Session and Competition
Zhang, Q., Zhou, A., Zhao, S., Suganthan, P. N., Liu, W., and Tiwari, S. (2009) · 2009
Later among the works it cites.
Multidisciplinary Optimisation in the Design of Future Space Launchers
Collange, G., Delattre, N., Hansen, N., Quinquis, I., and Schoenauer, M. (2010) · 2010
Later among the works it cites.
Real-Parameter Black-Box Optimization Benchmarking 2009: Experimental Setup
Hansen, N., Auger, A., Finck, S., and Ros, R. (2009) · 2010
Later among the works it cites.
Benchmarking Numerical Multiobjective Optimizers Revisited
Brockhoff, D., Tran, T.-D., and Hansen, N. (2015) · 2015
Later among the works it cites.
Model-based multi-objective optimization: taxonomy, multi-point proposal, toolbox and benchmark
Horn, D., Wagner, T., Biermann, D., Weihs, C., and Bischl, B. (2015) · 2015
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Covariance Matrix Adaptation for Multi-objective Optimization
Igel, C., Hansen, N., and Roth, S. (2007) · 2007
Cited alongside, same era.
Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II
Li, H. and Zhang, Q. (2009) · 2009
Cited alongside, same era.
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
Hansen, N., Auger, A., Mersmann, O., Tušar, T., and Brockhoff, D. (2016a)
Cited in the paper.
COCO: The Experimental Procedure
Hansen, N., Tušar, T., Mersmann, O., Auger, A., and Brockhoff, D. (2016b)
Cited in the paper.
Multiobjective evolutionary algorithm test suites
Van Veldhuizen, D. A. and Lamont, G. B. (1999b)
Cited in the paper.
Brockhoff, D., Tušar, T., Tušar, D., Wagner, T., Hansen, N., and Auger, A. (2016) · 2016
Closest in time.
Benchmark functions for the cec’2017 competition on many-objective optimization
Cheng, R., Li, M., Tian, Y., Zhang, X., Yang, S., Jin, Y., and Yao, X. (2017) · 2017
Closest in time.