Next Article in Journal
Neural Networks—Deflection Prediction of Continuous Beams with GFRP Reinforcement
Next Article in Special Issue
Thread-Aware Mechanism to Enhance Inter-Node Load Balancing for Multithreaded Applications on NUMA Systems
Previous Article in Journal
Optimal Feature Set Size in Random Forest Regression
Previous Article in Special Issue
A Parallel Meta-Heuristic Approach to Reduce Vehicle Travel Time in Smart Cities
 
 
Article

Search Patterns Based on Trajectories Extracted from the Response of Second-Order Systems

1
Departamento de Electrónica, Universidad de Guadalajara, CUCEI Av. Revolución 1500, Guadalajara 44430, Mexico
2
Faculty of Science, Al-Azhar University, Cairo 11651, Egypt
*
Author to whom correspondence should be addressed.
Academic Editor: Juan A. Gómez-Pulido
Appl. Sci. 2021, 11(8), 3430; https://doi.org/10.3390/app11083430
Received: 6 March 2021 / Revised: 30 March 2021 / Accepted: 1 April 2021 / Published: 12 April 2021
(This article belongs to the Special Issue Applied (Meta)-Heuristic in Intelligent Systems)
Recently, several new metaheuristic schemes have been introduced in the literature. Although all these approaches consider very different phenomena as metaphors, the search patterns used to explore the search space are very similar. On the other hand, second-order systems are models that present different temporal behaviors depending on the value of their parameters. Such temporal behaviors can be conceived as search patterns with multiple behaviors and simple configurations. In this paper, a set of new search patterns are introduced to explore the search space efficiently. They emulate the response of a second-order system. The proposed set of search patterns have been integrated as a complete search strategy, called Second-Order Algorithm (SOA), to obtain the global solution of complex optimization problems. To analyze the performance of the proposed scheme, it has been compared in a set of representative optimization problems, including multimodal, unimodal, and hybrid benchmark formulations. Numerical results demonstrate that the proposed SOA method exhibits remarkable performance in terms of accuracy and high convergence rates. View Full-Text
Keywords: metaheuristic methods; search patterns; second-order systems; evolutionary methods metaheuristic methods; search patterns; second-order systems; evolutionary methods
Show Figures

Figure 1

MDPI and ACS Style

Cuevas, E.; Becerra, H.; Escobar, H.; Luque-Chang, A.; Pérez, M.; Eid, H.F.; Jiménez, M. Search Patterns Based on Trajectories Extracted from the Response of Second-Order Systems. Appl. Sci. 2021, 11, 3430. https://doi.org/10.3390/app11083430

AMA Style

Cuevas E, Becerra H, Escobar H, Luque-Chang A, Pérez M, Eid HF, Jiménez M. Search Patterns Based on Trajectories Extracted from the Response of Second-Order Systems. Applied Sciences. 2021; 11(8):3430. https://doi.org/10.3390/app11083430

Chicago/Turabian Style

Cuevas, Erik, Héctor Becerra, Héctor Escobar, Alberto Luque-Chang, Marco Pérez, Heba F. Eid, and Mario Jiménez. 2021. "Search Patterns Based on Trajectories Extracted from the Response of Second-Order Systems" Applied Sciences 11, no. 8: 3430. https://doi.org/10.3390/app11083430

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop