Eneko Osaba
Orcid: 0000-0001-7863-9910
According to our database1,
Eneko Osaba
authored at least 140 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
Understanding the challenges and novel architectural models of multi-cloud native applications - a systematic literature review.
J. Cloud Comput., 2023
A Quantum Computing-based System for Portfolio Optimization using Future Asset Values and Automatic Reduction of the Investment Universe.
CoRR, 2023
Benchmark dataset and instance generator for Real-World Three-Dimensional Bin Packing Problems.
CoRR, 2023
On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence.
CoRR, 2023
Hybrid Approach for Solving Real-World Bin Packing Problem Instances Using Quantum Annealers.
CoRR, 2023
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023
Proceedings of the Information Systems and Technologies, 2023
Proceedings of the 3rd Eclipse Security, 2023
Hybrid Classical-Quantum Computing: Are we Forgetting the Classical Part in the Binomial?
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
On the Design and Performance of a Novel Metaheuristic Solver for the Extended Colored Traveling Salesman Problem.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023
Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations.
Proceedings of the 2023 11th International Conference on Computer and Communications Management, 2023
Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems, 2023
2022
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning.
IEEE Trans. Evol. Comput., 2022
Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future.
Swarm Evol. Comput., 2022
Editorial: Memetic Computing: Accelerating optimization heuristics with problem-dependent local search methods.
Swarm Evol. Comput., 2022
Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States.
Entropy, 2022
Evolutionary Multitask Optimization: a Methodological Overview, Challenges, and Future Research Directions.
Cogn. Comput., 2022
IEEE Access, 2022
Analyzing the behaviour of D'WAVE quantum annealer: fine-tuning parameterization and tests with restrictive Hamiltonian formulations.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Assignment of bug reports to software developers using a multi-population evolutionary method.
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022
PIACERE project: description and prototype for optimizing infrastructure as code deployment configurations.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Electric Vehicle Routing Problem: Literature Review, Instances and Results with a Novel Ant Colony Optimization Method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Improving the Urban Accessibility of Older Pedestrians using Multi-objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems.
Swarm Evol. Comput., 2021
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms.
Swarm Evol. Comput., 2021
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking.
Inf. Sci., 2021
Optimization and Prediction Techniques for Self-Healing and Self-Learning Applications in a Trustworthy Cloud Continuum.
Inf., 2021
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges.
Inf. Fusion, 2021
Data Min. Knowl. Discov., 2021
CoRR, 2021
Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions.
CoRR, 2021
More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
MO-MFCGA: Multiobjective Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the 2021 International Conference on Data Mining, 2021
A Parallel Variable Neighborhood Search for Solving Real-World Production-Scheduling Problems.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
Focusing on the hybrid quantum computing - Tabu search algorithm: new results on the Asymmetric Salesman Problem.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Hybrid Quantum Computing - Tabu Search Algorithm for Partitioning Problems: Preliminary Study on the Traveling Salesman Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Bioinspired Computational Intelligence and Transportation Systems: A Long Road Ahead.
IEEE Trans. Intell. Transp. Syst., 2020
J. Comput. Sci., 2020
Data-Driven Optimization for Transportation Logistics and Smart Mobility Applications [Guest Editorial].
IEEE Intell. Transp. Syst. Mag., 2020
Int. J. Bio Inspired Comput., 2020
On the design of hybrid bio-inspired meta-heuristics for complex multiattribute vehicle routing problems.
Expert Syst. J. Knowl. Eng., 2020
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics.
CoRR, 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.
CoRR, 2020
Community detection in networks using bio-inspired optimization: Latest developments, new results and perspectives with a selection of recent meta-heuristics.
Appl. Soft Comput., 2020
A Coevolutionary Variable Neighborhood Search Algorithm for Discrete Multitasking (CoVNS): Application to Community Detection over Graphs.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
On the Transferability of Knowledge among Vehicle Routing Problems by using Cellular Evolutionary Multitasking.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Distributed Coordination of Heterogeneous Robotic Swarms Using Stochastic Diffusion Search.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020
A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020
Proceedings of the Computational Science - ICCS 2020, 2020
Parametric Learning of Associative Functional Networks Through a Modified Memetic Self-adaptive Firefly Algorithm.
Proceedings of the Computational Science - ICCS 2020, 2020
dMFEA-II: An adaptive multifactorial evolutionary algorithm for permutation-based discrete optimization problems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Swarm Intelligence for Automatic Color and Contrast Retrieval of Digital Images of Paintings.
Proceedings of the International Conference on Cyberworlds, 2020
Bat Algorithm Method for Automatic Determination of Color and Contrast of Modified Digital Images.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Using ICTs for the Improvement of Public Open Spaces: The Opportunity Offered by CyberParks Digital Tools.
Proceedings of the CyberParks - The Interface Between People, Places and Technology, 2019
A Discrete and Improved Bat Algorithm for solving a medical goods distribution problem with pharmacological waste collection.
Swarm Evol. Comput., 2019
Special issue HAIS 2015: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems.
Neurocomputing, 2019
Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics.
Appl. Intell., 2019
Cuckoo Search Algorithm for Border Reconstruction of Medical Images with Rational Curves.
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019
Proceedings of the Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection, 2019
Deep Recurrent Neural Networks and Optimization Meta-Heuristics for Green Urban Route Planning with Dynamic Traffic Estimates.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the Computational Science - ICCS 2019, 2019
Proceedings of the Computational Science - ICCS 2019, 2019
Combining bio-inspired meta-heuristics and novelty search for community detection over evolving graph streams.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Nature-inspired metaheuristics for optimizing information dissemination in vehicular networks.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Hybridizing differential evolution and novelty search for multimodal optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Computing rational border curves of melanoma and other skin lesions from medical images with bat algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Discovering dependencies among mined association rules with population-based metaheuristics.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Trophallaxis, Low-Power Vision Sensors and Multi-objective Heuristics for 3D Scene Reconstruction Using Swarm Robotics.
Proceedings of the Applications of Evolutionary Computation, 2019
Hybrid Modified Firefly Algorithm for Border Detection of Skin Lesions in Medical Imaging.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Return, Diversification and Risk in Cryptocurrency Portfolios using Deep Recurrent Neural Networks and Multi-Objective Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Good practice proposal for the implementation, presentation, and comparison of metaheuristics for solving routing problems.
Neurocomputing, 2018
A Smartphone-Based System for Outdoor Data Gathering Using a Wireless Beacon Network and GPS Data: From Cyber Spaces to Senseable Spaces.
ISPRS Int. J. Geo Inf., 2018
Let nature decide its nature: On the design of collaborative hyperheuristics for decentralized ephemeral environments.
Future Gener. Comput. Syst., 2018
A discrete water cycle algorithm for solving the symmetric and asymmetric traveling salesman problem.
Appl. Soft Comput., 2018
Interplay of Two Bat Algorithm Robotic Swarms in Non-cooperative Target Point Search.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018
Multi-Objective Optimization of Bike Routes for Last-Mile Package Delivery with Drop-Offs.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Bat Algorithm Swarm Robotics Approach for Dual Non-cooperative Search with Self-centered Mode.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Differential Evolution for Association Rule Mining Using Categorical and Numerical Attributes.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Solving the Open-Path Asymmetric Green Traveling Salesman Problem in a Realistic Urban Environment.
Proceedings of the Intelligent Distributed Computing XII, 2018
Automatic Fitting of Feature Points for Border Detection of Skin Lesions in Medical Images with Bat Algorithm.
Proceedings of the Intelligent Distributed Computing XII, 2018
Memetic Modified Cuckoo Search Algorithm with ASSRS for the SSCF Problem in Self-Similar Fractal Image Reconstruction.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
Task Classification Using Topological Graph Features for Functional M/EEG Brain Connectomics.
Proceedings of the Applications of Evolutionary Computation, 2018
Multi-objective Design of Time-Constrained Bike Routes Using Bio-inspired Meta-heuristics.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2018
Ensemble and Fuzzy Techniques Applied to Imbalanced Traffic Congestion Datasets: A Comparative Study.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2018
A Bio-inspired Approach for Collaborative Exploration with Mobile Battery Recharging in Swarm Robotics.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2018
2017
Improvement of Drug Delivery Routes Through the Adoption of Multi-Operator Evolutionary Algorithms and Intelligent Vans Capable of Reporting Real-Time Incidents.
IEEE Trans Autom. Sci. Eng., 2017
A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy.
Soft Comput., 2017
Correction: Moreno, A., et al. Design of a Cooperative ITS Architecture Based on Distributed RSUs.
Sensors, 2017
Smart Bandwidth Assignation in an Underlay Cellular Network for Internet of Vehicles.
Sensors, 2017
Proceedings of the Recent Advances in Soft Computing, 2017
Proceedings of the Soft Computing Based Optimization and Decision Models, 2017
2016
An Evolutionary Discrete Firefly Algorithm with Novel Operators for Solving the Vehicle Routing Problem with Time Windows.
Proceedings of the Nature-Inspired Computation in Engineering, 2016
A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy.
IEEE Trans. Intell. Transp. Syst., 2016
Design and Field Experimentation of a Cooperative ITS Architecture Based on Distributed RSUs.
Sensors, 2016
Design and Implementation of a Combinatorial Optimization Multi-population Meta-heuristic for Solving Vehicle Routing Problems.
Int. J. Interact. Multim. Artif. Intell., 2016
GACE: A meta-heuristic based in the hybridization of Genetic Algorithms and Cross Entropy methods for continuous optimization.
Expert Syst. Appl., 2016
An improved discrete bat algorithm for symmetric and asymmetric Traveling Salesman Problems.
Eng. Appl. Artif. Intell., 2016
Poster: Efficient cluster-based resource allocation for co-existing vehicle and cellular users.
Proceedings of the 2016 IEEE Vehicular Networking Conference, 2016
TIMON Project: Description and Preliminary Tests for Traffic Prediction Using Evolutionary Techniques.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Comparison between Golden Ball Meta-heuristic, Evolutionary Simulated Annealing and Tabu Search for the Traveling Salesman Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Short-Term Traffic Congestion Forecasting Using Hybrid Metaheuristics and Rule-Based Methods: A Comparative Study.
Proceedings of the Advances in Artificial Intelligence, 2016
2015
A multi-objective evolutionary algorithm for the tuning of fuzzy rule bases for uncoordinated intersections in autonomous driving.
Inf. Sci., 2015
Int. J. Comput. Intell. Syst., 2015
A Parallel Meta-heuristic for Solving a Multiple Asymmetric Traveling Salesman Problem with Simulateneous Pickup and Delivery Modeling Demand Responsive Transport Problems.
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
Comments on "Albayrak, M., & Allahverdy N. (2011). Development a new mutation operator to solve the Traveling Salesman Problem by aid of genetic algorithms. Expert Systems with Applications, 38(3), 1313-1320": A proposal of good practice.
Expert Syst. Appl., 2014
Golden ball: a novel meta-heuristic to solve combinatorial optimization problems based on soccer concepts.
Appl. Intell., 2014
GABF: genetic algorithm with base fitness for obtaining generality from partial results: study in autonomous intersection by fuzzy logic.
Appl. Intell., 2014
A Proposal of Good Practice in the Formulation and Comparison of Meta-heuristics for Solving Routing Problems.
Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014
A study on the impact of heuristic initialization functions in a genetic algorithm solving the N-queens problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
A study on the efficiency of neutral crossover operators in genetic algorithms applied to the bin packing problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
On the influence of using initialization functions on genetic algorithms solving combinatorial optimization problems: A first study on the TSP.
Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014
2013
A multi-crossover and adaptive island based population algorithm for solving routing problems.
J. Zhejiang Univ. Sci. C, 2013
Discussion related to "Wang, C.-H., & Lu, J.-Z. (2009). A hybrid genetic algorithm that optimizes capacitated vehicle routing problem. Expert Systems with Applications, 36(2), 2921-2936".
Expert Syst. Appl., 2013
Analysis of the suitability of using blind crossover operators in genetic algorithms for solving routing problems.
Proceedings of the IEEE 8th International Symposium on Applied Computational Intelligence and Informatics, 2013
Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2013), 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
2012
A Methodological Proposal to Eliminate Ambiguities in the Comparison of Vehicle Routing Problem Solving Techniques.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012
Comparison of a memetic algorithm and a tabu search algorithm for the Traveling Salesman Problem.
Proceedings of the Federated Conference on Computer Science and Information Systems, 2012
2011
A Metaheuristics based Simulation Tool to Optimize Demand Responsive Transportation Systems.
Proceedings of the ICSOFT 2011, 2011
A New Evolutionary Hybrid Algorithm to Solve Demand Responsive Transportation Problems.
Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2011