Abstract: In manufacturing-related industries, scheduling of resources and tasks play an important role in improving efficiency and productivity as well as reducing costs. Job-shop scheduling problem ...

This work proposes a multiperiod mixed-integer nonlinear programming (MINLP) model to optimize the complex operations of CO 2 buffering in tanks, transport through pipe networks, and storage in ...

The feasibility pump is a well-established primal heuristic for mixed integer programming (MIP) that alternates between solving a linear programming (LP) relaxation of the original problem and ...

This paper presents a novel approach to the joint optimization of job scheduling and data allocation in grid computing environments. We formulate this joint optimization problem as a mixed integer ...

We combine Mixed-Integer Programming (MIP) with Machine Learning to find near-optimal portfolios efficiently: maximize: μᵀw - λ·(wᵀΣw) - transaction_costs(w ...

In satellite system design, optimizing component layout is crucial for enhancing satellite performance. Recently, a research team led by Professor Wen Yao from the Defense Innovation Institute at the ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...

Abstract: It is known that for most of gene expression data for cancer classification, the number of samples is quite small compared to the number of genes. Therefore, feature selection is an ...