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Browsing by Author "Salido Gregorio, Miguel Angel"

Now showing items 1-20 of 67

A decision support system for managing combinatorial problems in container terminals

Salido, Miguel A.; Rodríguez Molins, Mario; Barber, Federico (Elsevier, 2012-05)

[EN] A container terminal is a facility where cargo containers are transshipped between different transport vehicles. We focus our attention on the transshipment between vessels and land vehicles, in which case the terminal ...
A Dual Scheduling Model for Optimizing Robustness and Energy Consumption in Manufacturing Systems

Escamilla Fuster, Joan; Salido Gregorio, Miguel Angel (SAGE Publications (UK and US), 2016)

[EN] Manufacturing systems involve a huge number of combinatorial problems that must be optimized in an efficient way. One of these problems is related to task scheduling problems. These problems are NP-hard, so most of ...
A FILTERING TECHNIQUE TO ACHIEVE 2-CONSISTENCY IN CONSTRAINT SATISFACTION PROBLEMS

Arangú Lobig, Marlene Alicia; Salido, Miguel A.; Barber Sanchís, Federico (ICIC International, 2012)

[EN] Arc-Consistency algorithms are the most commonly used ltering techniques to prune the search space in Constraint Satisfaction Problems (CSPs). 2-consistency is a similar technique that guarantees that any instantiation ...
A Fine-grained Arc-consistency Algorithm for Non-Normalized Constraint Satisfaction Problems

Arangú Lobig, Marlene Alicia; Salido Gregorio, Miguel Angel (University of Zielona Gora Press, 2011)

Constraint programming is a powerful software technology for solving numerous real-life problems. Many of these problems can be modeled as Constraint Satisfaction Problems (CSPs) and solved using constraint programming ...
A Genetic Algorithm for Energy-Efficiency in Job-Shop Scheduling

Salido, Miguel A.; Escamilla Fuster, Joan; Giret Boggino, Adriana Susana; Barber, Federico (Springer Verlag (Germany), 2016-07)

Many real-world scheduling problems are solved to obtain optimal solutions in term of processing time, cost, and quality as optimization objectives. Currently, energyefficiency is also taken into consideration in these ...
A genetic algorithm for robust berth allocation and quay crane assignment

Rodríguez Molins, Mario; Ingolotti Hetter, Laura Paola; Barber Sanchís, Federico; Salido Gregorio, Miguel Angel; Sierra, María R.; Puente, Jorge (2014-07-01)

[EN] Scheduling problems usually obtain the optimal solutions assuming that the environment is deterministic. However, actually the environment is dynamic and uncertain. Thus, the initial data could change and the initial ...
A GRASP-based metaheuristic for the Berth Allocation Problem and the Quay Crane Assignment Problem by managing vessel cargo holds

Rodríguez Molins, Mario; Salido Gregorio, Miguel Angel; Barber Sanchís, Federico (Springer Verlag (Germany), 2014-03)

Container terminals are open systems that generally serve as a transshipment zone between vessels and land vehicles. These terminals carry out a large number of planning and scheduling tasks. In this paper, we consider ...
A hormone regulation based approach for distributed and on-line scheduling of machines and automated guided vehicles

Zheng, Kun; Tang, Dunbing; Giret Boggino, Adriana Susana; Salido, Miguel A.; Sang, Z. (SAGE Publications, 2016)

[EN] With the continuous innovation of technology, automated guided vehicles are playing an increasingly important role on manufacturing systems. Both the scheduling of operations on machines as well as the scheduling of ...
A hybrid metaheuristic with learning for a real supply chain scheduling problem

Pérez, Christian; Climent, Laura; Nicoló, Giancarlo; Arbelaez, Alejandro; Salido, Miguel A. (Elsevier, 2023-11)

[EN] In recent decades, research on supply chain management (SCM) has enabled companies to improve their environmental, social, and economic performance.This paper presents an industrial application of logistics that can ...
A Metaheuristic Search Technique for Solving the Warehouse Stock Management Problem and the Routing Problem in a Real Company

Pérez Bernal, Christian; Miguel A. Salido; Gurrea, David (Springer, 2020-12-09)

[EN] In many transport companies, one of the main objectives is to optimize the travel cost of their fleet. Other objectives are related to delivery time, fuel savings, etc. However warehouse stock management is not properly ...
A new model and metaheuristic approach for the energy-based resource-constrained scheduling problem

Morillo-Torres, Daniel; Barber, Federico; Salido, Miguel A. (SAGE Publications, 2017)

[EN] This article focuses on obtaining sustainable and energy-efficient solutions for limited resource programming problems. To this end, a model for integrating makespan and energy consumption objectives in multi-mode ...
A New Optimization Algorithm Based on Search and Rescue Operations

Shabani, Amir; Asgarian, Behrouz; Gharebaghi, Saeed Asil; Salido Gregorio, Miguel Angel; Giret Boggino, Adriana Susana (Hindawi Limited, 2019-11-03)

[EN] In this paper, a new optimization algorithm called the search and rescue optimization algorithm (SAR) is proposed for solving single-objective continuous optimization problems. SAR is inspired by the explorations ...
An Enhanced Estimation of Distribution Algorithm for Energy-Efficient Job-Shop Scheduling Problems with Transportation Constraints

Dai, Min; Zhang, Ziwei; Giret Boggino, Adriana Susana; Salido, Miguel A. (MDPI AG, 2019-05-31)

[EN] Nowadays, the manufacturing industry faces the challenge of reducing energy consumption and the associated environmental impacts. Production scheduling is an effective approach for energy-savings management. During ...
An Optimization Approach for the Coordinated Low-Carbon Design of Product Family and Remanufactured Products

WANG, Q.; Tang, Dunbing; Li, Shipei; Yang, Jun; Salido, Miguel A.; Giret Boggino, Adriana Susana; Zhu, Haihua (MDPI AG, 2019-01-16)

[EN] With increasingly stringent environmental regulations on emission standards, enterprises and investigators are looking for effective ways to decrease GHG emission from products. As an important method for reducing GHG ...
An Optimization Method for Coordinating Supplier Selection and Low-Carbon Design of Product Family

WANG, Q.; Tang, Dunbing; Yin, L.; Ullah, I.; Salido, M. A.; Giret Boggino, Adriana Susana (Springer-Verlag, 2018-11)

[EN] New stricter environmental regulations and consumer rising issues are making greenhouse gases (GHG) emission an increasing and urgent concern for manufacturing companies. Companies and researchers are seeking appropriate ...
Assessment of mathematical programming and agent-based modelling for off-line scheduling: application to energy aware manufacturing

Tonelli, Flavio; Bruzzone, Alessandro; Paolucci, Massimo; Carpanzano, Emanuele; Nicolò, Giancarlo; Giret Boggino, Adriana Susana; Salido Gregorio, Miguel Angel; Trentesaux, Damien (Elsevier, 2016)

State-of-the-art approaches to energy aware scheduling can be centralized or decentralized, predictive or reactive. and they can use methods ranging from mathematical programming to agent-based distributed models. In this ...
Bi-objective optimization for low-carbon product family design

Wang, Qi; Dunbing, Tang; Yin, Leilei; Salido, Miguel A.; Giret Boggino, Adriana Susana; Xu, Yuchun (Elsevier, 2016)

[EN] Consumers, industry, and government entities are becoming increasingly concerned about the issue of global warming. With this in mind, manufacturers have begun to develop products with consideration of low-carbon. In ...
Búsqueda de Soluciones Robustas en Problemas de Satisfacción de Restricciones Dinámicos

Climent Aunés, Laura Isabel (Universitat Politècnica de València, 2011-09-21)

Desarrollo de dos métodos de búsquesa de soluciones robustas para problemas de satisfacción de restricciones dinámicos. Los métodos se basan en modelar estos problemas como problemas de satisfacción de restricciones ponderados.
Clasificación de imágenes mediante conceptos lingüísticos difusos cercanos al lenguaje humano

Cerrón González, Juan (Universitat Politècnica de València, 2016-05-09)

[EN] We use fuzzy logic to represent images in a similar way a human does, i.e., by means of words. Words let us describe an image focusing on the relevant features according to the human perception.
Constraint Satisfaction for Planning and Scheduling Problems

Bartak, Roman; Salido, Miguel A. (Springer Verlag (Germany), 2011)

The areas of planning and scheduling (from the Artificial Intelligence point of view) have seen important advances thanks to application of constraint satisfaction techniques. Currently, many important real-world problems ...