Miguel A. Salido

About Miguel A. Salido

Miguel A. Salido, With an exceptional h-index of 32 and a recent h-index of 21 (since 2020), a distinguished researcher at Universidad Politécnica de València, specializes in the field of Inteligencia Artificial, scheduling, Metaheuristicas.

His recent articles reflect a diverse array of research interests and contributions to the field:

A hybrid metaheuristic with learning for a real supply chain scheduling problem

Rooster Colony Algorithm: A two-step Multi-Swarm Optimization Approach

A Q-Learning Proposal for Tuning Genetic Algorithms in Flexible Job Shop Scheduling Problems

IP-cores watermarking scheme at behavioral level using genetic algorithms

Search and rescue optimization algorithm: A new optimization method for solving constrained engineering optimization problems

A metaheuristic search technique for solving the warehouse stock management problem and the routing problem in a real company

A GRASP-based search technique for scheduling travel-optimized warehouses in a logistics company.

Miguel A. Salido Information

University

Position

Catedrático de Universidad

Citations(all)

4558

Citations(since 2020)

2150

Cited By

3285

hIndex(all)

32

hIndex(since 2020)

21

i10Index(all)

72

i10Index(since 2020)

36

Email

University Profile Page

Universidad Politécnica de València

Google Scholar

View Google Scholar Profile

Miguel A. Salido Skills & Research Interests

Inteligencia Artificial

scheduling

Metaheuristicas

Top articles of Miguel A. Salido

Title

Journal

Author(s)

Publication Date

A hybrid metaheuristic with learning for a real supply chain scheduling problem

Engineering Applications of Artificial Intelligence

Christian Pérez

Laura Climent

Giancarlo Nicoló

Alejandro Arbelaez

Miguel A Salido

2023/11/1

Rooster Colony Algorithm: A two-step Multi-Swarm Optimization Approach

The International FLAIRS Conference Proceedings

Miguel A Salido

Adriana Giret

Christian Perez

Carlos March

2023/5/8

A Q-Learning Proposal for Tuning Genetic Algorithms in Flexible Job Shop Scheduling Problems

The International FLAIRS Conference Proceedings

Christian Perez

Carlos March

Miguel A Salido

2023/5/8

IP-cores watermarking scheme at behavioral level using genetic algorithms

Engineering Applications of Artificial Intelligence

Jorge Echavarria

Alicia Morales-Reyes

René Cumplido

Miguel A Salido

Claudia Feregrino-Uribe

2021/9/1

Search and rescue optimization algorithm: A new optimization method for solving constrained engineering optimization problems

Expert Systems with Applications

Amir Shabani

Behrouz Asgarian

Miguel Salido

Saeed Asil Gharebaghi

2020/12/15

A metaheuristic search technique for solving the warehouse stock management problem and the routing problem in a real company

Christian Perez

Miguel A Salido

David Gurrea

2020

A GRASP-based search technique for scheduling travel-optimized warehouses in a logistics company.

Christian Perez

Miguel A Salido

2020

See List of Professors in Miguel A. Salido University(Universidad Politécnica de València)

Co-Authors

H-index: 50
José Hernández-Orallo

José Hernández-Orallo

Universidad Politécnica de València

H-index: 30
Federico Barber

Federico Barber

Universidad Politécnica de València

H-index: 29
Adriana Giret

Adriana Giret

Universidad Politécnica de València

H-index: 26
Cèsar Ferri

Cèsar Ferri

Universidad Politécnica de València

H-index: 20
Pilar Tormos

Pilar Tormos

Universidad Politécnica de València

H-index: 20
Jorge Puente Peinador

Jorge Puente Peinador

Universidad de Oviedo

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