His primary scientific interests are in Mathematical optimization, Scheduling, Linear programming, Job shop scheduling and Relaxation. A large part of his Mathematical optimization studies is devoted to Disjunctive programming. The concepts of his Disjunctive programming study are interwoven with issues in Quadratic programming and Global optimization.
Throughout his Scheduling studies, Pedro M. Castro incorporates elements of other sciences such as Representation, Term, Efficient energy use, Energy market and Secondary sector of the economy. In his works, Pedro M. Castro performs multidisciplinary study on Linear programming and Grid. A majority of his Relaxation research is a blend of other scientific areas, such as Piecewise and Bilinear interpolation.
His primary areas of investigation include Mathematical optimization, Scheduling, Linear programming, Job shop scheduling and Grid. His biological study spans a wide range of topics, including Algorithm and Nonlinear system. His study looks at the relationship between Scheduling and topics such as Distributed computing, which overlap with Flow shop scheduling.
He frequently studies issues relating to Resource constrained and Linear programming. He works mostly in the field of Job shop scheduling, limiting it down to topics relating to Process integration and, in certain cases, Refinery, Multi-objective optimization, Heat exchanger and Optimization problem. His study in Global optimization is interdisciplinary in nature, drawing from both Quadratic programming, Solver, Nonlinear programming and Benchmark.
His main research concerns Mathematical optimization, Scheduling, Linear programming, Global optimization and Bilinear interpolation. Pedro M. Castro performs integrative study on Mathematical optimization and Grid in his works. His Scheduling research is multidisciplinary, incorporating elements of Pipeline transport and Distributed computing.
His Linear programming study incorporates themes from Power, Operating cost and Time horizon. His work deals with themes such as Solver and Nonlinear system, which intersect with Global optimization. His Relaxation research integrates issues from Quadratic programming and Applied mathematics.
His primary areas of study are Mathematical optimization, Pipeline transport, Linear programming, Global optimization and Bilinear interpolation. Pedro M. Castro regularly links together related areas like Job shop scheduling in his Mathematical optimization studies. His Pipeline transport research includes themes of Scheduling and Industrial engineering.
His studies in Scheduling integrate themes in fields like Engineering drawing, Inventory control and Petroleum industry. Pedro M. Castro integrates many fields, such as Linear programming and Grid, in his works. His Global optimization study combines topics from a wide range of disciplines, such as Robust optimization, Travelling salesman problem, Process integration, Work in process and Integer programming.
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Scope for industrial applications of production scheduling models and solution methods
Iiro Harjunkoski;Christos T. Maravelias;Peter Bongers;Pedro M. Castro.
Simple Continuous-Time Formulation for Short-Term Scheduling of Batch and Continuous Processes
Pedro M. Castro;‡ Ana P. Barbosa-Póvoa;and Henrique A. Matos;Augusto Q. Novais.
Integrated sizing and scheduling of wind/PV/diesel/battery isolated systems
André Malheiro;Pedro M. Castro;Ricardo M. Lima;Ana Estanqueiro.
Renewable Energy (2015)
An Improved RTN Continuous-Time Formulation for the Short-term Scheduling of Multipurpose Batch Plants
P. Castro;A. P. F. D. Barbosa-Povoa;H. Matos.
Improvements for mass-exchange networks design
P. Castro;H. Matos;M.C. Fernandes;C. Pedro Nunes.
Chemical Engineering Science (1999)
Global optimization of bilinear programs with a multiparametric disaggregation technique
Scott Kolodziej;Pedro M. Castro;Ignacio E. Grossmann.
Tightening piecewise McCormick relaxations for bilinear problems
Pedro M. Castro.
Computers & Chemical Engineering (2015)
New continuous-time scheduling formulation for continuous plants under variable electricity cost
Pedro M. Castro;Iiro Harjunkoski;Ignacio E. Grossmann.
Resource–Task Network Formulations for Industrial Demand Side Management of a Steel Plant
Pedro M. Castro;Lige Sun;Iiro Harjunkoski.
New Continuous-Time MILP Model for the Short-Term Scheduling of Multistage Batch Plants
Pedro M. Castro;Ignacio E. Grossmann.
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