artículo académico

• A product-driven system with an evolutionary algorithm to increase flexibility in planning a job shop.  PLOS ONE.  18(2). 2023
• Reducing Nervousness in Master Production Planning: A Systematic Approach Incorporating Product-Driven Strategies.  ALGORITHMS.  16(8). 2023
• A product-driven system approach to generate fast solutions to the job shop scheduling problem.  IFAC-PAPERSONLINE.  55(10):1930-1937. 2022
• Complexity indices for the multidimensional knapsack problem.  CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH.  29(2):589-609. 2021
• Assessing the energy benefit of using a wind turbine micro-siting model.  RENEWABLE ENERGY.  118:591-601. 2018
• Wind farm layout optimization using a Gaussian-based wake model.  RENEWABLE ENERGY.  107:531-541. 2017
• A reactive decision-making approach to reduce instability in a master production schedule.  INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH.  54(8):2394-2404. 2016
• Evolution of new algorithms for the binary knapsack problem.  NATURAL COMPUTING.  15:181-193. 2016
• Proposal of a Markov chains based method for predicting paroxysmal atrial fibrillations.  INGENIARE (CHILE).  23(3):449-457. 2015
• A product-driven system approach for multilevel decisions in manufacturing planning and control.  PRODUCTION & MANUFACTURING RESEARCH.  2(1):756-766. 2014