Performance assessment of multiobjective optimizers: An analysis and review
…, CM Fonseca, VG Da Fonseca - IEEE Transactions …, 2003 - ieeexplore.ieee.org
An important issue in multiobjective optimization is the quantitative comparison of the
performance of different algorithms. In the case of multiobjective evolutionary algorithms, the …
performance of different algorithms. In the case of multiobjective evolutionary algorithms, the …
Inferential performance assessment of stochastic optimisers and the attainment function
V Grunert da Fonseca, CM Fonseca, AO Hall - … on Evolutionary Multi …, 2001 - Springer
The performance of stochastic optimisers can be assessed experimentally on given problems
by performing multiple optimisation runs, and analysing the results. Since an optimiser …
by performing multiple optimisation runs, and analysing the results. Since an optimiser …
[PDF][PDF] Why quality assessment of multiobjective optimizers is difficult
…, L Thiele, CM Fonseca, VG da Fonseca - Proceedings of the …, 2002 - sop.tik.ee.ethz.ch
… Fonseca, Viviane Grunert da Fonseca … If we consider instead multiple runs, statistical methods
are required (Grunert da Fonseca et al. 2001); this important issue will not be discussed in …
are required (Grunert da Fonseca et al. 2001); this important issue will not be discussed in …
Exploring the performance of stochastic multiobjective optimisers with the second-order attainment function
CM Fonseca, VG Da Fonseca, L Paquete - International Conference on …, 2005 - Springer
The attainment function has been proposed as a measure of the statistical performance of
stochastic multiobjective optimisers which encompasses both the quality of individual non-…
stochastic multiobjective optimisers which encompasses both the quality of individual non-…
The attainment-function approach to stochastic multiobjective optimizer assessment and comparison
VG da Fonseca, CM Fonseca - Experimental methods for the analysis of …, 2010 - Springer
This chapter presents the attainment-function approach to the assessment and comparison
of stochastic multiobjective optimizer (MO) performance. Since the random outcomes of …
of stochastic multiobjective optimizer (MO) performance. Since the random outcomes of …
The relationship between the covered fraction, completeness and hypervolume indicators
V Grunert da Fonseca, CM Fonseca - Artificial Evolution: 10th International …, 2012 - Springer
This paper investigates the relationship between the covered fraction, completeness, and (weighted)
hypervolume indicators for assessing the quality of the Pareto-front approximations …
hypervolume indicators for assessing the quality of the Pareto-front approximations …
Rapid Sterility Test Systems in the Pharmaceutical Industry: Applying a Structured Approach to Their Evaluation, Validation and Global Implementation
…, P IJzerman-Boon, VG da Fonseca… - PDA Journal of …, 2023 - journal.pda.org
The current compendial sterility test has a 14-day incubation time and is often the time-limiting
step in the Assess and Release Process of pharmaceutical products. There is an ever-…
step in the Assess and Release Process of pharmaceutical products. There is an ever-…
[PDF][PDF] Workshop on Empirical Methods for the Analysis of Algorithms
… Finally, Fonseca and da Fonseca discussed several relevant issues in the empirical
research of algorithms for multiobjective problems. … Fonseca and Viviane Grunert da Fonseca …
research of algorithms for multiobjective problems. … Fonseca and Viviane Grunert da Fonseca …
Multiobjective genetic algorithms with application to control engineering problems.
CMM Fonseca - 1995 - etheses.whiterose.ac.uk
… I thank my Parents for their love and support from my first day of life; my brothers and
sister for encouragement; and my wife and colleague Viviane Grunert for her dedication and …
sister for encouragement; and my wife and colleague Viviane Grunert for her dedication and …
[BOOK][B] Experimental methods for the analysis of optimization algorithms
… Viviane Grunert da Fonseca and Carlos M. Fonseca 5.1 Introduction..............................................
103 5.2 Statistics and the Attainment-Function Approach............... 105 5.2. 1 Stochastic …
103 5.2 Statistics and the Attainment-Function Approach............... 105 5.2. 1 Stochastic …