Angel A. Juan

Full Professor

Universitat Politècnica de València

Spain

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About

Angel A. Juan is a Full Professor at Universitat Politècnica de València, Spain. His research focuses on optimization algorithms, particularly in the fields of logistics, energy efficiency, and bioinformatics. Recent articles explore topics such as machine learning, dynamic orienteering problems, and the application of blockchain technology in tokenized markets. He is actively involved in advancing methodologies that enhance operational efficiency and sustainability in urban environments.

Articles (19)

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2023

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2022

Collaborators (10)

Paula Carroll

Lecturer

Dublin City University

IRELAND

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Ferran Adelantado

Associate professor

Universitat de Girona

SPAIN

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Javier Panadero

Associate Professor

Universitat Politècnica de Catalunya

SPAIN

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swapnil sadashiv shinde

KTH Royal Institute of Technology

SWEDEN

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Peter Keenan

Dublin City University

IRELAND

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Daniele Tarchi

Associate Professor

University of Bologna

ITALY

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Rafael Marti

Professor

University of Valencia

SPAIN

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Javier Faulin

Full Professor in Operations Research and Statistics

Universidad de Navarra

SPAIN

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Carles Serrat

Technical University of Catalonia

SPAIN

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Jairo R. Montoya-Torres

UNITED STATES

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Angel A. Juan

Research Interests

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About

Articles (19)

A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics

On the role of metaheuristic optimization in bioinformatics

The location routing problem with facility sizing decisions

Optimization of Vehicular Networks in Smart Cities: From Agile Optimization to Learnheuristics and Simheuristics

A Hybrid Simulation and Reinforcement Learning Algorithm for Enhancing Efficiency in Warehouse Operations

Using Reinforcement Learning to Solve a Dynamic Orienteering Problem with Random Rewards Affected by the Battery Status

Battery Sharing: A Feasibility Analysis through Simulation

Solving the time capacitated arc routing problem under fuzzy and stochastic travel and service times

A Learnheuristic Algorithm for the Capacitated Dispersion Problem under Dynamic Conditions

Promoting Energy Efficiency and Emissions Reduction in Urban Areas with Key Performance Indicators and Data Analytics

Analyzing Key Performance Indicators for Mobility Logistics in Smart and Sustainable Cities: A Case Study Centered on Barcelona

Machine Learning Models for Predicting Personalized Tacrolimus Stable Dosages in Pediatric Renal Transplant Patients

Tokenized Markets Using Blockchain Technology: Exploring Recent Developments and Opportunities

Solving Vehicle Routing Problems under Uncertainty and in Dynamic Scenarios: From Simheuristics to Agile Optimization

Circular Economy and Information Technologies: Identifying and Ranking the Factors of Successful Practices

Internet of Vehicles and Real-Time Optimization Algorithms: Concepts for Vehicle Networking in Smart Cities

On the Use of Agile Optimization for Efficient Energy Consumption in Smart Cities’s Transportation and Mobility

Determining Reliable Solutions for the Team Orienteering Problem with Probabilistic Delays

A simheuristic algorithm for video streaming flows optimisation with QoS threshold modelled as a stochastic single-allocation p-hub median problem

Collaborators (10)

Paula Carroll

Ferran Adelantado

Javier Panadero

swapnil sadashiv shinde

Peter Keenan

Daniele Tarchi

Rafael Marti

Javier Faulin

Carles Serrat

Jairo R. Montoya-Torres

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