Addressing the importance of the algorithm design process, Deterministic Operations Research focuses on the design of solution methods for both continuous and discrete linear optimization problems.

This course examines formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems, efficient algorithm methods, and use of computer modeling ...

As a contribution to solving this problem in the Yucatán Shelf Octopus (Octopus maya) fishery, a multi-criteria non-linear optimization procedure was applied to a dynamic bioeconomic model of the ...

The problem of modeling change in a vector time series is studied using a dynamic linear model with measurement matrices that switch according to a time-varying independent random process. We derive ...

Inverse optimisation and linear programming have emerged as crucial instruments in addressing complex decision-making problems where underlying models must be inferred from observed behaviour. At ...

Embedding Plant Constraints into Optimization Models Optimization in power plants isn’t just about maximizing efficiency—it must also respect operational, safety, and regulatory constraints.