José Isaac Lemus Romani

Cursos dictados los últimos cinco años.
Pregrado

Taller de programación en construcción. CCO3848.

Investigación de operaciones. CCL2363.

Materiales, tecnologías y sistemas de construcción.

Énfasis en:

Optimización metaheurística apoyada por técnicas de Machine Learning.
Inteligencia artificial aplicada a la industria de la construcción.
BIM.

Artículos en revistas indexadas WoS/Scopus
2024

Becerra-Rozas, M., Lemus-Romani, J., Crawford, B., Soto, R., & Talbi, E. G. Intelligent decision-making for binary coverage: Unveiling the potential of the multi-armed bandit selector. Expert Systems with Applications, 251, 124112., https://doi.org/10.1016/j.eswa.2024.124112

Vega, E., Lemus-Romani, J., Soto, R., Crawford, B., Löffler, C., Peña, J., & Talbi, E. G. Autonomous Parameter Balance in Population-Based Approaches: A Self-Adaptive Learning-Based Strategy. Biomimetics, 9(2), 82., https://doi.org/10.3390/biomimetics9020082

2023

Lemus-Romani, J., Ossandón, D., Sepúlveda, R., Carrasco-Astudillo, N., Yepes, V., & García, J. Optimizing retaining walls through reinforcement learning approaches and metaheuristic techniques. Mathematics, 11(9), 2104., https://doi.org/10.3390/math11092104

2022

Becerra-Rozas, M., Lemus-Romani, J., Cisternas-Caneo, F., Crawford, B., Soto, R., and García, J. Swarm-Inspired Computing to Solve Binary Optimization Problems: A Backward Q-Learning Binarization Scheme Selector. Mathematics, 10(24), 4776, https://doi.org/10.3390/math10244776

Becerra-Rozas, M., Lemus-Romani, J., Cisternas-Caneo, F., Crawford, B., Soto, R., Astorga, G., Castro, C. and García, J. Continuous Metaheuristics for Binary Optimization Problems: An Updated Systematic Literature Review. Mathematics, 11(1), 129, https://doi.org/10.3390/math11010129

2021

Becerra-Rozas, M., Lemus-Romani, J., Crawford, B., Soto, R., Cisternas-Caneo, F., Embry, A. T., … & Rubio, J. M. Reinforcement learning based whale optimizer. In International Conference on Computational Science and Its Applications (pp. 205-219). Cham: Springer International Publishing., https://doi.org/10.1007/978-3-030-87013-3_16

Tapia, D., Crawford, B., Soto, R., Palma, W., Lemus-Romani, J., Cisternas-Caneo, F., … & Misra, S. Embedding Q-Learning in the selection of metaheuristic operators: The enhanced binary grey wolf optimizer case. In 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA) (pp. 1-6). IEEE., https://doi.org/10.1109/ICAACCA51523.2021.9465259

Crawford, B., Soto, R., Lemus-Romani, J., Astorga, G., Matus de la Parra, S., Peña-Fritz, A., … & Paredes, F. Investigating the efficiency of swarm algorithms for bridge strengthening by conversion to tied-arch: A numerical case study on San Luis bridge. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 45, 2345-2357., https://doi.org/10.1007/s40996-020-00531-5

Lemus-Romani, J., Becerra-Rozas, M., Crawford, B., Soto, R., Cisternas-Caneo, F., Vega, E., Castillo, M., Tapia, D., Astorga, G., Palma, W., Castro, C., García, J. A Novel Learning-Based Binarization Scheme Selector for Swarm Algorithms Solving Combinatorial Problems. Mathematics, 9, 2887, https://doi.org/10.3390/math9222887

Soto, R., Astorga, G., Lemus-Romani, J., Misra, S., Castillo, M., Cisternas-Caneo, F., Tapia, D. and Becerra-Rozas, M. Balancing exploration-exploitation in the set covering problem resolution with a self-adaptive intelligent water drops algorithm. Advances in Science, Technology and Engineering Systems, 6(1), 134-145, https://doi.org/10.25046/aj060115

García, J., Lemus-Romani, J., Altimiras, F., Crawford, B., Soto, R., Becerra-Rozas, M., Moraga, P., Becerra, A.P., Fritz, A.P., Rubio, J.-M., Astorga, G. A Binary Machine Learning Cuckoo Search Algorithm Improved by a Local Search Operator for the Set-Union Knapsack Problem. Mathematics, 9, 2611, https://doi.org/10.3390/math9202611

Crawford, B., Soto, R., Lemus-Romani, J., Becerra-Rozas, M., Lanza-Gutiérrez, J.M., Caballé, N., Castillo, M., Tapia, D., Cisternas-Caneo, F., García, J., Astorga, G., Castro, C., Rubio, J.-M. Q-Learnheuristics: Towards Data-Driven Balanced Metaheuristics. Mathematics, 9, 1839, https://doi.org/10.3390/math9161839

Lemus-Romani, J., Alonso, B., Moura, J. L., Crawford, B., Soto R. and González, F. Limited Stop Services Design Considering Variable Dwell Time and Operating Capacity Constraints. IEEE Access, vol. 9, pp. 30359-30373, 2021, https://doi.org/10.1109/ACCESS.2021.3059512

2020

Lemus-Romani, J., Crawford, B., Soto, R., Astorga, G., Misra, S., Crawford, K., … & Paredes, F. Ambidextrous socio-cultural algorithms. In Computational Science and Its Applications–ICCSA 2020: 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part VI 20 (pp. 923-938). Springer International Publishing., https://doi.org/10.1007/978-3-030-58817-5_65

Vásquez, C., Lemus-Romani, J., Crawford, B., Soto, R., Astorga, G., Palma, W., … & Paredes, F. Solving the 0/1 knapsack problem using a galactic swarm optimization with data-driven binarization approaches. In Computational Science and Its Applications–ICCSA 2020: 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part VI 20 (pp. 511-526). Springer International Publishing., https://doi.org/10.1007/978-3-030-58817-5_38

Crawford, B., Soto, R., Lemus-Romani, J., Astorga, G., Matus de la Parra, S., Peña, A., Valenzuela, M., Conejeros, J., Fuente-Mella, H., Castro, C. and Paredes, F. Investigating the Efficiency of Swarm Algorithms for Bridge Strengthening by Conversion to Tied-Arch: A Numerical Case Study on San Luis Bridge. Iran J Sci Technol Trans Civ Eng, 45, 2345–2357, https://doi.org/10.1007/s40996-020-00531-5

Crawford, B., Soto, R., Palma, W., Aballay, F., Lemus-Romani, J., Misra, S., Castro, C., Paredes, F. and Rubio, J. M. A teaching-learning-based optimization algorithm for the weighted set-covering problem. Tehnički vjesnik, 27(5), 1678-1684, https://doi.org/10.17559/TV-20180501230511

Libros y capítulos de libros
2022

Becerra-Rozas, M., Lemus-Romani, J., Crawford, B., Soto, R., Cisternas-Caneo, F., Embry, A. T., Arnano, M., Tapia, D., Castillo, M., and Rubio, J. M. A New Learnheuristic: Binary SARSA-Sine Cosine Algorithm (BS-SCA). In: International Conference on Metaheuristics and Nature Inspired Computing (pp. 127-136). Springer, Cham, https://doi.org/10.1007/978-3-030-94216-8_10

2021

Becerra-Rozas, M., Lemus-Romani, J., Crawford, B., Soto, R., Cisternas-Caneo, F., Embry, A. T., Molina, M., Tapia, D., Castillo, M., Misra, S., and Rubio, J. M. Reinforcement Learning Based Whale Optimizer. In: Gervasi O. et al. (eds) Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science, vol 12957. Springer, Cham, https://doi.org/10.1007/978-3-030-87013-3_16

Crawford, B., Soto, R., Cisternas-Caneo, F., Tapia, D., Fuente-Mella, H., Palma, W., Lemus-Romani, J., Castillo, M., and Becerra-Rozas, M. A Comparison of Learnheuristics Using Different Reward Functions to Solve the Set Covering Problem. In: Dorronsoro B., Amodeo L., Pavone M., Ruiz P. (eds) Optimization and Learning. OLA 2021. Communications in Computer and Information Science, vol 1443. Springer, Cham, https://doi.org/10.1007/978-3-030-85672-4_6

Cisternas-Caneo, F., Crawford, B., Soto, R., Fuente-Mella, H., Ruiz, D., Lemus-Romani, J., Castillo, M., Becerra, M., Paredes, F. and Misra., S. A Data-Driven Dynamic Discretization Framework to Solve Combinatorial Problems Using Continuous Metaheuristics. In: Abraham A., Sasaki H., Rios R., Gandhi N., Singh U., Ma K. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2020. Advances in Intelligent Systems and Computing, vol 1372. Springer, Cham, https://doi.org/10.1007/978-3-030-73603-3_7

Castillo, M., Crawford, B., Soto, R., Palma, W., Lemus-Romani, J., Ruiz, D., Cisternas-Caeno, F., Becerra, M., Paredes, F. and Misra, S. An Autonomous Galactic Swarm Optimization Algorithm Supported by Hidden Markov Model. In: Abraham A. et al. (eds) Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020). SoCPaR 2020. Advances in Intelligent Systems and Computing, vol 1383. Springer, Cham, https://doi.org/10.1007/978-3-030-73689-7_34

2020

Tapia, D., Crawford, B., Soto, R., Cisternas-Caneo, F., Lemus-Romani, J., Castillo, M., Garcia, J., Palma, W., Paredes, F. and Misra, S. A Q-Learning Hyperheuristic Binarization Framework to Balance Exploration and Exploitation. In: Florez H., Misra S. (eds) Applied Informatics. ICAI 2020. Communications in Computer and Information Science, vol 1277. Springer, Cham, https://doi.org/10.1007/978-3-030-61702-8_2

Vásquez, C., Lemus-Romani, J., Crawford, B., Soto, R., Astorga, G., Palma, W., Misra, S. and Paredes, F. Solving the 0/1 Knapsack Problem Using a Galactic Swarm Optimization with Data-Driven Binarization Approaches. In: Gervasi O. et al. (eds) Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science, vol 12254. Springer, Cham, https://doi.org/10.1007/978-3-030-58817-5_38

Lemus-Romani, J., Crawford, B., Soto, R., Astorga, G., Misra, S., Crawford, K, Foschino, G., Salas-Fernández, A. and Paredes, F. Ambidextrous Socio-Cultural Algorithms. In: Gervasi O. et al. (eds) Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science, vol 12254. Springer, Cham, https://doi.org/10.1007/978-3-030-58817-5_65

Gardella O., Crawford B., Soto R., Lemus-Romani J., Astorga G., Salas-Fernández A. Bridges Strengthening by Conversion to Tied-Arch Using Monarch Butterfly Optimization. In: Yang XS., Sherratt S., Dey N., Joshi A. (eds) Fourth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 1041. Springer, Singapore, https://doi.org/10.1007/978-981-15-0637-6_39

2019

Vásquez, C., Crawford, B., Lemus-Romani, J., Astorga, G., Misra, S., Salas-Fernández, A. and Rubio, J. Galactic Swarm Optimization Applied to Reinforcement of Bridges by Conversion in Cable-Stayed Arch. In: Misra S. et al. (eds) Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science, vol 11623. Springer, Cham, https://doi.org/10.1007/978-3-030-24308-1_10

Valdivia, S., Crawford, B., Soto, R., Lemus-Romani, J., Astorga, G., Misra, S., Salas-Fernández, A., and Rubio, J. Bridges Reinforcement Through Conversion of Tied-Arch Using Crow Search Algorithm. In: Misra S. et al. (eds) Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science, vol 11623. Springer, Cham, https://doi.org/10.1007/978-3-030-24308-1_42

Carrasco, Ó., Crawford, B., Soto, R., Lemus-Romani, J., Astorga, G., Salas-Fernández, A. Optimization of Bridges Reinforcements with Tied-Arch Using Moth Search Algorithm. In: Ferrández, Vicente J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) From Bioinspired Systems and Biomedical Applications to Machine Learning. IWINAC 2019. Lecture Notes in Computer Science, vol 11487. Springer, Cham, https://doi.org/10.1007/978-3-030-19651-6_24

Crawford B., Soto R., Astorga G., Lemus-Romani, J., Salas-Fernández A. Self-configuring Intelligent Water Drops Algorithm for Software Project Scheduling Problem. In: Rocha Á., Ferrás C., Paredes M. (eds) Information Technology and Systems. ICITS 2019. Advances in Intelligent Systems and Computing, vol 918. Springer, Cham, https://doi.org/10.1007/978-3-030-11890-7_27

Artículos en conferencias
2022

Becerra-Rozas, Marcelo; Lemus-Romani, Jose; Crawford, Broderick; Soto, Ricardo; Cisternas-Caneo, Felipe; Trujillo Embry, Andres; Arnao Molina, Maximo; Tapia, Diego; Castillo, Mauricio; Rubio, Jose-Miguel, A New Learnheuristic: Binary Sarsa – Sine Cosine Algorithm (Bs-Sca). In 8th International Conference on Metaheuristics and Nature Inspired Computing (META), Marrakech, MOROCCO, 2022 https://doi.org/10.1007/978-3-030-94216-8_10

2021

Tapia, D., Crawford, B., Soto, R., Palma, W., Lemus-Romani, J., Cisternas-Caneo, F., Castillo, M., Becerra, M., Paredes, F. and Misra, S. Embedding Q-Learning in the selection of metaheuristic operators: The enhanced binary grey wolf optimizer case. In 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA), 2021, pp. 1-6, modalidad virtual, https://doi.org/10.1109/ICAACCA51523.2021.9465259

2020

Crawford, B., Soto, R., Astorga, G., Lemus-Romani, J., Misra, S., Castillo, M., … & Becerra-Rozas, M. Balancing exploration-exploitation in the set covering problem resolution with a self-adaptive intelligent water drops algorithm. Advances in Science, Technolog y and Engineering Systems, 6(1), 134-45.

2019

Crawford, B., Soto, R., Astorga, G., Lemus-Romani, J., Misra, S., & Rubio, J. M. An adaptive intelligent water drops algorithm for set covering problem. In 2019 19th International Conference on Computational Science and Its Applications (ICCSA) (pp. 39-45). IEEE.

Lagos, F., Crawford, B., Soto, R., Lemus-Romani, J., Astorga, G., Salas-Fernández, A., & Rubio, J. M. Bridge strengthening by conversion to tied-arch using dragonfly algorithm. In 2019 14th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-5). IEEE.

Valdivia, S., Crawford, B., Soto, R., Lemus-Romani, J., Astorga, G., Misra, S., … & Rubio, J. M. Bridges reinforcement through conversion of tied-arch using crow search algorithm. In Computational Science and Its Applications–ICCSA 2019: 19th International Conference, Saint Petersburg, Russia, July 1–4, 2019, Proceedings, Part V 19 (pp. 525-535). Springer International Publishing.

Vásquez, C., Crawford, B., Soto, R., Lemus-Romani, J., Astorga, G., Misra, S., … & Rubio, J. M. Galactic swarm optimization applied to reinforcement of bridges by conversion in cable-stayed arch. In Computational Science and Its Applications–ICCSA 2019: 19th International Conference, Saint Petersburg, Russia, July 1–4, 2019, Proceedings, Part V 19 (pp. 108-119). Springer International Publishing.

Morales, A., Crawford, B., Soto, R., Lemus-Romani, J., Astorga, G., Salas-Fernández, A., & Rubio, J. M. Optimization of bridges reinforcement by conversion to tied arch using an animal migration algorithm. In Advances and Trends in Artificial Intelligence. From Theory to Practice: 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Graz, Austria, July 9–11, 2019, Proceedings 32 (pp. 827-834). Springer International Publishing.

Carrasco, Ó., Crawford, B., Soto, R., Lemus-Romani, J., Astorga, G., & Salas-Fernández, A. Optimization of bridges reinforcements with tied-arch using moth search algorithm. In From Bioinspired Systems and Biomedical Applications to Machine Learning: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3–7, 2019, Proceedings, Part II 8 (pp. 244-253). Springer International Publishing.

Internos

2017

Desarrollo de turbinas eólicas de bajo costo. Pontificia Universidad Católica de Valparaíso. Grant N° 37.0/2017. Co-Investigador.

2019

Beca de Doctorado Nacional ANID, 2019.

2018

Beca INF-PUCV, 2017.

2018

Beca Postgrado PUCV, 2018.

Para responder a las nuevas demandas de la sociedad se necesitan profesionales interdisciplinarios https://www.pucv.cl/uuaa/entrevista-jose-lemus-romani-ingeniero-en-construccion-y-doctor-en-0