A mixed integer linear program is established to describe the problem. To obtain its Pareto solutions, we present a memetic algorithm that integrates a population-based nondominated sorting genetic ...

Some solvers are more efficient for linear problems, while others are better for nonlinear or mixed-integer problems. Some solvers have more options and features, while others are simpler and faster.

Mixed integer optimization (MIO) is a branch of operations research that deals with finding the best solution to a problem that involves both discrete and continuous variables. For example, you ...

The computational protein design problem or the side-chain positioning problem is a central part in computational methods for predicting protein structure and designing protein sequences. However, the ...

An important challenge for most chemical companies is to simultaneously consider inventory optimization and supply chain network design under demand uncertainty. This leads to a problem that requires ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...

A linear programming embedded genetic algorithm for a integrated cell formation and lot sizing considering product quality. European Journal of Operational Research, 187(1): 4669. [6] HANDANI Z, WAN S ...

View on Coursera Course Description. This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving ...

Keywords: air traffic control, aircraft sequencing and scheduling, multiple-lane landing problem, mixed-integer programming, branch-and-bound algorithm. Citation: Rogovs S, Nikitina V and Gerdts M ...