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

407 citations · 1.2k across the 54 of their papers we have counts for

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6 papers · 1 filter

cs.AI2023★ 2 cited

Age-Friendly Route Planner: Calculating Comfortable Routes for Senior Citizens

Andoni Aranguren, Eneko Osaba, Silvia Urra-Uriarte +1

The application of routing algorithms to real-world situations is a widely studied research topic. Despite this, routing algorithms and applications are usually developed for a gen…

cs.AI2023

A Quantum Computing-based System for Portfolio Optimization using Future Asset Values and Automatic Reduction of the Investment Universe

Eneko Osaba, Guillaume Gelabert, Esther Villar-Rodriguez +2

One of the problems in quantitative finance that has received the most attention is the portfolio optimization problem. Regarding its solving, this problem has been approached usin…

cs.AI2023★ 9 cited

Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach

Sebastián V. Romero, Eneko Osaba, Esther Villar-Rodriguez +1

The Bin Packing Problem is a classic problem with wide industrial applicability. In fact, the efficient packing of items into bins is one of the toughest challenges in many logisti…

cs.AI2023★ 11 cited

Benchmark dataset and instance generator for Real-World Three-Dimensional Bin Packing Problems

Eneko Osaba, Esther Villar-Rodriguez, Sebastián V. Romero

In this article, a benchmark for real-world bin packing problems is proposed. This dataset consists of 12 instances of varying levels of complexity regarding size (with the number…

cs.AI2020

On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking

Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo +2

Multitasking optimization is a recently introduced paradigm, focused on the simultaneous solving of multiple optimization problem instances (tasks). The goal of multitasking enviro…

cs.AI2020★ 23 cited

dMFEA-II: An Adaptive Multifactorial Evolutionary Algorithm for Permutation-based Discrete Optimization Problems

Eneko Osaba, Aritz D. Martinez, Akemi Galvez +2

The emerging research paradigm coined as multitasking optimization aims to solve multiple optimization tasks concurrently by means of a single search process. For this purpose, the…