Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review
A key aspect of the design of evolutionary and swarm intelligence algorithms is studying
their performance. Statistical comparisons are also a crucial part which allows for reliable …
their performance. Statistical comparisons are also a crucial part which allows for reliable …
Deep learning for predictive business process monitoring: Review and benchmark
E Rama-Maneiro, JC Vidal… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Predictive monitoring of business processes is concerned with the prediction of ongoing
cases on a business process. Lately, the popularity of deep learning techniques has …
cases on a business process. Lately, the popularity of deep learning techniques has …
Benchmarking discrete optimization heuristics with IOHprofiler
Automated benchmarking environments aim to support researchers in understanding how
different algorithms perform on different types of optimization problems. Such comparisons …
different algorithms perform on different types of optimization problems. Such comparisons …
IOHanalyzer: Detailed performance analyses for iterative optimization heuristics
Benchmarking and performance analysis play an important role in understanding the
behaviour of iterative optimization heuristics (IOHs) such as local search algorithms, genetic …
behaviour of iterative optimization heuristics (IOHs) such as local search algorithms, genetic …
[HTML][HTML] A fishing route optimization decision support system: The case of the tuna purse seiner
I Granado, L Hernando, Z Uriondo… - European Journal of …, 2024 - Elsevier
Fisheries face challenges in improving efficiency and reducing their emission footprint and
operating costs. Decision support systems offer an opportunity to tackle such challenges …
operating costs. Decision support systems offer an opportunity to tackle such challenges …
An efficient variable neighborhood search for the space-free multi-row facility layout problem
Abstract The Space-Free Multi-Row Facility Layout problem (SF-MRFLP) seeks for a non-
overlapping layout of departments (facilities) on a given number of rows satisfying the …
overlapping layout of departments (facilities) on a given number of rows satisfying the …
Ensemble models of cutting-edge deep neural networks for blood glucose prediction in patients with diabetes
This article proposes two ensemble neural network-based models for blood glucose
prediction at three different prediction horizons—30, 60, and 120 min—and compares their …
prediction at three different prediction horizons—30, 60, and 120 min—and compares their …
Bayesian performance analysis for black-box optimization benchmarking
The most commonly used statistics in Evolutionary Computation (EC) are of the Wilcoxon-
Mann-Whitney-test type, in its either paired or non-paired version. However, using such …
Mann-Whitney-test type, in its either paired or non-paired version. However, using such …
A practical methodology for reproducible experimentation: an application to the Double-row Facility Layout Problem
Reproducibility of experiments is a complex task in stochastic methods such as evolutionary
algorithms or metaheuristics in general. Many works from the literature give general …
algorithms or metaheuristics in general. Many works from the literature give general …
Paradox-free analysis for comparing the performance of optimization algorithms
Numerical comparison serves as a major tool in evaluating the performance of optimization
algorithms, especially nondeterministic algorithms, but existing methods may suffer from a …
algorithms, especially nondeterministic algorithms, but existing methods may suffer from a …