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08/21/2023
Hybrid classical-quantum computing: are we forgetting the classical part in the binomial?
The expectations arising from the latest achievements in the quantum com...
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08/05/2023
Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach
The Bin Packing Problem is a classic problem with wide industrial applic...
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04/28/2023
Benchmark dataset and instance generator for Real-World Three-Dimensional Bin Packing Problems
In this paper, a benchmark for real-world bin packing problems is propos...
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03/14/2023
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence
AI-based digital twins are at the leading edge of the Industry 4.0 revol...
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03/01/2023
Hybrid Approach for Solving Real-World Bin Packing Problem Instances Using Quantum Annealers
Efficient packing of items into bins is a common daily task. Known as Bi...
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07/01/2022
Analyzing the behaviour of D'WAVE quantum annealer: fine-tuning parameterization and tests with restrictive Hamiltonian formulations
Despite being considered as the next frontier in computation, Quantum Co...
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11/29/2021
Evolutionary Multitask Optimization: Are we Moving in the Right Direction?
Transfer Optimization, understood as the exchange of information among s...
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02/11/2021
Focusing on the Hybrid Quantum Computing – Tabu Search Algorithm: new results on the Asymmetric Salesman Problem
Quantum Computing is an emerging paradigm which is gathering a lot of po...
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02/04/2021
Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions
In this work we consider multitasking in the context of solving multiple...
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12/09/2020
Hybrid Quantum Computing – Tabu Search Algorithm for Partitioning Problems: preliminary study on the Traveling Salesman Problem
Quantum Computing is considered as the next frontier in computing, and i...
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10/08/2020
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking
Transfer Optimization is an incipient research area dedicated to the sim...
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09/30/2020
A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs
The main goal of the multitasking optimization paradigm is to solve mult...
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09/21/2020
CURIE: A Cellular Automaton for Concept Drift Detection
Data stream mining extracts information from large quantities of data fl...
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08/09/2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges
Much has been said about the fusion of bio-inspired optimization algorit...
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05/11/2020
On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking
Multitasking optimization is a recently introduced paradigm, focused on ...
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05/11/2020
On the Transferability of Knowledge among Vehicle Routing Problems by using a Cellular Evolutionary Multitasking
Multitasking optimization is a recently introduced paradigm, focused on ...
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04/19/2020
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics
Bio-inspired optimization (including Evolutionary Computation and Swarm ...
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04/17/2020
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment
In short-term traffic forecasting, the goal is to accurately predict fut...
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04/14/2020
dMFEA-II: An Adaptive Multifactorial Evolutionary Algorithm for Permutation-based Discrete Optimization Problems
The emerging research paradigm coined as multitasking optimization aims ...
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03/24/2020
Diseño e implementación de una meta-heurística multi-poblacional de optimización combinatoria enfocada a la resolución de problemas de asignación de rutas a vehículos
Transportation is an essential area in the nowadays society, both for bu...
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03/24/2020
COEBA: A Coevolutionary Bat Algorithm for Discrete Evolutionary Multitasking
Multitasking optimization is an emerging research field which has attrac...
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03/24/2020
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis
Multitasking optimization is an incipient research area which is lately ...
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02/25/2020
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization
In recent years, Multifactorial Optimization (MFO) has gained a notable ...
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04/14/2016