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Francisco Ángel-Bello

Researcher at Monterrey Institute of Technology and Higher Education

Publications -  28
Citations -  680

Francisco Ángel-Bello is an academic researcher from Monterrey Institute of Technology and Higher Education. The author has contributed to research in topics: Metaheuristic & Job shop scheduling. The author has an hindex of 14, co-authored 28 publications receiving 533 citations.

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Solving a bi-objective Transportation Location Routing Problem by metaheuristic algorithms

TL;DR: This work presents a mathematical formulation for the bi-objective TLRP and proposes a new representation for the TLRP based on priorities, which lets us manage the problem easily and reduces the computational effort.
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Efficient metaheuristic algorithm and re-formulations for the unrelated parallel machine scheduling problem with sequence and machine-dependent setup times

TL;DR: AMetaheuristic algorithm based on multi-start algorithm and variable neighbourhood descent metaheuristic is proposed that considerably improved the performance of the algorithm providing small deviations from optimal solutions in medium-sized instances and outperforming the best known solutions for large instances.
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A mixed integer formulation and an efficient metaheuristic procedure for the k-Travelling Repairmen Problem

TL;DR: A new mixed integer formulation and a simple and efficient metaheuristic algorithm for k-Travelling Repairmen Problem that allows solving to optimality more than three times larger data instances than the previous formulation published in literature.
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A bi-objective vehicle routing problem with time windows: A real case in Tenerife

TL;DR: The solution provided by the method proposed in this paper improves the solution implemented by the company, and is motivated by a real problem posed to the authors by a company in Tenerife, Spain.
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Two improved formulations for the minimum latency problem

TL;DR: This work has developed two integer formulations for the minimum latency problem and compared them with other two formulations from the literature for the time-dependent traveling salesman problem and highlights the similarities and differences between the different formulations.