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Algorithms, Volume 14, Issue 9

September 2021 - 22 articles

Cover Story: Mathematical models of dynamical systems often depend on physical parameters. In order to use such models in simulations as well as for observer or controller design, these parameters must be known. While it may be possible to measure some of them directly, other parameters have to be determined using experiments with the real system. This is only possible if these parameters are structurally identifiable. In order to test this property of the mathematical model, an algebraic approach is discussed, which is based on the indistinguishability of system states. This method differs from existing approaches that use the systems input–output equations. View this paper
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Articles (22)

  • Article
  • Open Access
5 Citations
2,970 Views
8 Pages

21 September 2021

In real systems, some damaged nodes can spontaneously become active again when recovered from themselves or their active neighbours. However, the spontaneous dynamical recovery of complex networks that suffer a local failure has not yet been taken in...

  • Article
  • Open Access
3 Citations
2,485 Views
12 Pages

Intelligent Search of Values for a Controller Using the Artificial Bee Colony Algorithm to Control the Velocity of Displacement of a Robot

  • José M. Villegas,
  • Camilo Caraveo,
  • David A. Mejía,
  • José L. Rodríguez,
  • Yuridia Vega,
  • Leticia Cervantes and
  • Alejandro Medina-Santiago

18 September 2021

The optimization is essential in the engineering area and, in conjunction with use of meta-heuristics, has had a great impact in recent years; this is because of its great precision in search of optimal parameters for the solution of problems. In thi...

  • Article
  • Open Access
2 Citations
2,486 Views
7 Pages

17 September 2021

The various biases affecting RNA mutations during evolution is the subject of intense research, leaving the extent of the role of random mutations undefined. To remedy this lacuna, using the codon table, the number of codons representing each amino a...

  • Article
  • Open Access
1 Citations
3,452 Views
17 Pages

Long-Term EEG Component Analysis Method Based on Lasso Regression

  • Hongjian Bo,
  • Haifeng Li,
  • Boying Wu,
  • Hongwei Li and
  • Lin Ma

17 September 2021

At present, there are very few analysis methods for long-term electroencephalogram (EEG) components. Temporal information is always ignored by most of the existing techniques in cognitive studies. Therefore, a new analysis method based on time-varyin...

  • Article
  • Open Access
8 Citations
3,128 Views
15 Pages

17 September 2021

In dealing with the algorithmic aspects of intelligent systems, the analogy with the biological brain has always been attractive, and has often had a dual function. On the one hand, it has been an effective source of inspiration for their design, whi...

  • Article
  • Open Access
10 Citations
4,534 Views
17 Pages

Algorithms for Bidding Strategies in Local Energy Markets: Exhaustive Search through Parallel Computing and Metaheuristic Optimization

  • Andrés Angulo,
  • Diego Rodríguez,
  • Wilmer Garzón,
  • Diego F. Gómez,
  • Ameena Al Sumaiti and
  • Sergio Rivera

16 September 2021

The integration of different energy resources from traditional power systems presents new challenges for real-time implementation and operation. In the last decade, a way has been sought to optimize the operation of small microgrids (SMGs) that have...

  • Article
  • Open Access
7 Citations
5,183 Views
18 Pages

UFaceNet: Research on Multi-Task Face Recognition Algorithm Based on CNN

  • Huoyou Li,
  • Jianshiun Hu,
  • Jingwen Yu,
  • Ning Yu and
  • Qingqiang Wu

15 September 2021

With the application of deep convolutional neural networks, the performance of computer vision tasks has been improved to a new level. The construction of a deeper and more complex network allows the face recognition algorithm to obtain a higher accu...

  • Article
  • Open Access
14 Citations
5,959 Views
25 Pages

A New Constructive Heuristic Driven by Machine Learning for the Traveling Salesman Problem

  • Umberto Junior Mele,
  • Luca Maria Gambardella and
  • Roberto Montemanni

14 September 2021

Recent systems applying Machine Learning (ML) to solve the Traveling Salesman Problem (TSP) exhibit issues when they try to scale up to real case scenarios with several hundred vertices. The use of Candidate Lists (CLs) has been brought up to cope wi...

  • Article
  • Open Access
2 Citations
2,648 Views
26 Pages

QB4MobOLAP: A Vocabulary Extension for Mobility OLAP on the Semantic Web

  • Irya Wisnubhadra,
  • Safiza Kamal Baharin,
  • Nurul A. Emran and
  • Djoko Budiyanto Setyohadi

13 September 2021

The accessibility of devices that track the positions of moving objects has attracted many researchers in Mobility Online Analytical Processing (Mobility OLAP). Mobility OLAP makes use of trajectory data warehousing techniques, which typically includ...

  • Article
  • Open Access
4 Citations
2,452 Views
22 Pages

13 September 2021

In order to solve the problem of traffic congestion and emission optimization of urban multi-class expressways, a robust dynamic nondominated sorting multi-objective genetic algorithm DFCM-RDNSGA-III based on density fuzzy c-means clustering method i...

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Algorithms - ISSN 1999-4893