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20162026
most citedA Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems

407 citations · 497 across the 39 of their papers we have counts for

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Showing 2025Show all

15 papers · 1 filter

cs.ET2025

Quantum Annealing for Staff Scheduling in Educational Environments

Alessia Ciacco, Francesca Guerriero, Eneko Osaba

We address a novel staff allocation problem that arises in the organization of collaborators among multiple school sites and educational levels. The problem emerges from a real cas…

cs.ET2025

Steiner Traveling Salesman Problem with Time Windows and Pickup-Delivery: integrating classical and quantum optimization

Alessia Ciacco, Francesca Guerriero, Eneko Osaba

We propose the Steiner Traveling Salesman Problem with Time Windows and Pickup and Delivery, an advanced and practical extension of classical routing models. This variant integrate…

cs.RO2025

Quantum-Assisted Automatic Path-Planning for Robotic Quality Inspection in Industry 4.0

Eneko Osaba, Estibaliz Garrote, Pablo Miranda-Rodriguez +3

This work explores the application of hybrid quantum-classical algorithms to optimize robotic inspection trajectories derived from Computer-Aided Design (CAD) models in industrial…

quant-ph20251 cited

Exploring the application of quantum technologies to industrial and real-world use cases

Eneko Osaba, Esther Villar-Rodriguez, Izaskun Oregi

Recent advancements in quantum computing are leading to an era of practical utility, enabling the tackling of increasingly complex problems. The goal of this era is to leverage qua…

quant-ph20254 cited

Quantum Computing in Industrial Environments: Where Do We Stand and Where Are We Headed?

Eneko Osaba, Iñigo Perez Delgado, Alejandro Mata Ali +3

This article explores the current state and future prospects of quantum computing in industrial environments. Firstly, it describes three main paradigms in this field of knowledge:…

cs.ET2025

Comparative Analysis of Classical and Quantum-Inspired Solvers: A Preliminary Study on the Weighted Max-Cut Problem

Aitor Morais, Eneko Osaba, Iker Pastor +1

Combinatorial optimization is essential across numerous disciplines. Traditional metaheuristics excel at exploring complex solution spaces efficiently, yet they often struggle with…