Hybrid artificial intelligence and robust optimization for a multi-objective product portfolio problem Case study: The dairy products industry

A Goli, HK Zare, R Tavakkoli-Moghaddam… - Computers & industrial …, 2019 - Elsevier
The optimization of the product portfolio problem under return uncertainty is addressed here.
The contribution of this study is based on the application of a hybrid improved artificial …

An exact approach for the robust assembly line balancing problem

J Pereira, E Álvarez-Miranda - Omega, 2018 - Elsevier
This work studies an assembly line balancing problem with uncertainty on the task times. In
order to deal with the uncertainty, a robust formulation to handle changes in the operation …

Robust combinatorial optimization under convex and discrete cost uncertainty

C Buchheim, J Kurtz - EURO Journal on Computational Optimization, 2018 - Elsevier
In this survey, we discuss the state of the art of robust combinatorial optimization under
uncertain cost functions. We summarize complexity results presented in the literature for …

The robust vehicle routing problem with time windows: Solution by branch and price and cut

D Lu, F Gzara - European Journal of Operational Research, 2019 - Elsevier
We study the vehicle routing problem with time windows under demand uncertainty. Such a
problem arises in fuel delivery to gas stations, to farms, or to production plants. We suggest a …

[HTML][HTML] Exact solution of the robust knapsack problem

M Monaci, U Pferschy, P Serafini - Computers & operations research, 2013 - Elsevier
We consider an uncertain variant of the knapsack problem in which the weight of the items is
not exactly known in advance, but belongs to a given interval, and an upper bound is …

Robust combinatorial optimization with variable cost uncertainty

M Poss - European Journal of Operational Research, 2014 - Elsevier
We present in this paper a new model for robust combinatorial optimization with cost
uncertainty that generalizes the classical budgeted uncertainty set. We suppose here that …

[HTML][HTML] Robust combinatorial optimization with knapsack uncertainty

M Poss - Discrete Optimization, 2018 - Elsevier
We study in this paper min max robust combinatorial optimization problems for an
uncertainty polytope that is defined by knapsack constraints, either in the space of the …

Robust safety driver scheduling for autonomous buses

M Wang, S Chen, Q Meng - Transportation research part B: methodological, 2024 - Elsevier
Autonomous buses offer a promising solution to the first-and last-mile problems, but their
initial deployment requires safety drivers to supervise bus operations. Compared to …

A robust algorithm for project portfolio selection problem using real options valuation

M Montajabiha, A Arshadi Khamseh… - International Journal of …, 2017 - emerald.com
Purpose The principal concern of organization managers in the global rivalry of commerce
environment is how to select the project portfolio among available projects. In this matter …

Robust constrained shortest path problems under budgeted uncertainty

A Alves Pessoa, L Di Puglia Pugliese, F Guerriero… - …, 2015 - Wiley Online Library
We study the robust constrained shortest path problem under resource uncertainty. After
proving that the problem is in the strong sense for arbitrary uncertainty sets, we focus on …