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Algorithms, Volume 16, Issue 7

July 2023 - 47 articles

Cover Story: There is a growing interest in automatically tuning the hyperparameters of deep learning models to reduce complexity and significant advancements have been made to this effect that promise improved performance with fewer resources. This study proposes HyperGE, a two-stage grammar-guided search space pruning algorithm for automatically tuning hyperparameters of deep learning models. HyperGE is driven by grammatical evolution (GE), a bioinspired population-based machine learning algorithm. In Stage 1 of HyperGE, the hyperparameter search space is explored globally by individuals. In Stage 2, the intuitions from the preceding stage significantly reduce the search space by a factor of ~90% and guide the exploitation within this refined space leading to optimal configurations with fewer trials. View this paper
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Articles (47)

  • Article
  • Open Access
10 Citations
3,422 Views
14 Pages

Design of Cloud-Based Real-Time Eye-Tracking Monitoring and Storage System

  • Mustafa Can Gursesli,
  • Mehmet Emin Selek,
  • Mustafa Oktay Samur,
  • Mirko Duradoni,
  • Kyoungju Park,
  • Andrea Guazzini and
  • Antonio Lanatà

24 July 2023

The rapid development of technology has led to the implementation of data-driven systems whose performance heavily relies on the amount and type of data. In the latest decades, in the field of bioengineering data management, among others, eye-trackin...

  • Article
  • Open Access
6 Citations
3,934 Views
20 Pages

Hierarchical Reinforcement Learning for Crude Oil Supply Chain Scheduling

  • Nan Ma,
  • Ziyi Wang,
  • Zeyu Ba,
  • Xinran Li,
  • Ning Yang,
  • Xinyi Yang and
  • Haifeng Zhang

24 July 2023

Crude oil resource scheduling is one of the critical issues upstream in the crude oil industry chain. It aims to reduce transportation and inventory costs and avoid alerts of inventory limit violations by formulating reasonable crude oil transportati...

  • Article
  • Open Access
6 Citations
3,524 Views
22 Pages

24 July 2023

Singular spectrum analysis (SSA) is a non-parametric adaptive technique used for time series analysis. It allows solving various problems related to time series without the need to define a model. In this study, we focus on the problem of trend extra...

  • Article
  • Open Access
1 Citations
2,445 Views
18 Pages

24 July 2023

The objective is to find a Cellular Automata (CA) rule that can generate “loop patterns”. A loop pattern is given by ones on a zero background showing loops. In order to find out how loop patterns can be locally defined, tentative loop pa...

  • Article
  • Open Access
1 Citations
2,308 Views
17 Pages

Learning from Imbalanced Datasets: The Bike-Sharing Inventory Problem Using Sparse Information

  • Giovanni Ceccarelli,
  • Guido Cantelmo,
  • Marialisa Nigro and
  • Constantinos Antoniou

22 July 2023

In bike-sharing systems, the inventory level is defined as the daily number of bicycles required to optimally meet the demand. Estimating these values is a major challenge for bike-sharing operators, as biased inventory levels lead to a reduced quali...

  • Article
  • Open Access
2 Citations
2,092 Views
16 Pages

21 July 2023

For multimodal multi-objective optimization problems (MMOPs), there are multiple equivalent Pareto optimal solutions in the decision space that are corresponding to the same objective value. Therefore, the main tasks of multimodal multi-objective opt...

  • Article
  • Open Access
5 Citations
2,318 Views
17 Pages

20 July 2023

This paper proposes two algorithms for clustering data, which are variable-sized sets of elementary items. An example of such data occurs in the analysis of a medical diagnosis, where the goal is to detect human subjects who share common diseases to...

  • Article
  • Open Access
3 Citations
2,556 Views
20 Pages

20 July 2023

Selecting the appropriate temporary facilities is important for reducing cost and improving the productivity and safety of craft professionals in construction projects. However, the manual planning process for scaffolding systems is typically prone t...

  • Article
  • Open Access
1 Citations
2,471 Views
19 Pages

19 July 2023

Time series data typically exhibit high dimensionality and complexity, necessitating the use of specific approximation methods to perform computations on the data. The currently employed compression methods suffer from varying degrees of feature loss...

  • Article
  • Open Access
3 Citations
3,058 Views
25 Pages

18 July 2023

A new algorithm is presented to compute nonrigid, possibly partial comparisons of shapes defined by unstructured triangulations of their surfaces. The algorithm takes as input a pair of surfaces with each surface given by a distinct and unrelated tri...

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Algorithms - ISSN 1999-4893