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Volume 8
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Article

Efficient Subpopulation Based Parallel TLBO Optimization Algorithms

by
Alejandro García-Monzó
1,
Héctor Migallón
1,*,
Antonio Jimeno-Morenilla
2,
José-Luis Sánchez-Romero
2,
Héctor Rico
2 and
Ravipudi Venkata Rao
3
1
Department of Physics and Computer Architecture, Miguel Hernández University, E-03202 Alicante, Spain
2
Department of Computer Technology, University of Alicante, E-03071 Alicante, Spain
3
Sardar Vallabhbhai National Institute of Technology, Surat 395 007, Gujarat State, India
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(1), 19; https://doi.org/10.3390/electronics8010019
Submission received: 27 November 2018 / Revised: 11 December 2018 / Accepted: 21 December 2018 / Published: 23 December 2018
(This article belongs to the Section Computer Science & Engineering)
Versions Notes

Abstract

A numerous group of optimization algorithms based on heuristic techniques have been proposed in recent years. Most of them are based on phenomena in nature and require the correct tuning of some parameters, which are specific to the algorithm. Heuristic algorithms allow problems to be solved more quickly than deterministic methods. The computational time required to obtain the optimum (or near optimum) value of a cost function is a critical aspect of scientific applications in countless fields of knowledge. Therefore, we proposed efficient algorithms parallel to Teaching-learning-based optimization algorithms. TLBO is efficient and free from specific parameters to be tuned. The parallel proposals were designed with two levels of parallelization, one for shared memory platforms and the other for distributed memory platforms, obtaining good parallel performance in both types of parallel architectures and on heterogeneous memory parallel platforms.
Keywords: TLBO; optimization problems; parallel; heuristic; subpopulations; OpenMP; MPI; hybrid MPI/OpenMP TLBO; optimization problems; parallel; heuristic; subpopulations; OpenMP; MPI; hybrid MPI/OpenMP

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MDPI and ACS Style

García-Monzó, A.; Migallón, H.; Jimeno-Morenilla, A.; Sánchez-Romero, J.-L.; Rico, H.; Rao, R.V. Efficient Subpopulation Based Parallel TLBO Optimization Algorithms. Electronics 2019, 8, 19. https://doi.org/10.3390/electronics8010019

AMA Style

García-Monzó A, Migallón H, Jimeno-Morenilla A, Sánchez-Romero J-L, Rico H, Rao RV. Efficient Subpopulation Based Parallel TLBO Optimization Algorithms. Electronics. 2019; 8(1):19. https://doi.org/10.3390/electronics8010019

Chicago/Turabian Style

García-Monzó, Alejandro, Héctor Migallón, Antonio Jimeno-Morenilla, José-Luis Sánchez-Romero, Héctor Rico, and Ravipudi Venkata Rao. 2019. "Efficient Subpopulation Based Parallel TLBO Optimization Algorithms" Electronics 8, no. 1: 19. https://doi.org/10.3390/electronics8010019

APA Style

García-Monzó, A., Migallón, H., Jimeno-Morenilla, A., Sánchez-Romero, J.-L., Rico, H., & Rao, R. V. (2019). Efficient Subpopulation Based Parallel TLBO Optimization Algorithms. Electronics, 8(1), 19. https://doi.org/10.3390/electronics8010019

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