David A. Pelta

University of Granada | UGR · Department of Computer Science and Artificial Intelligence

Performance evaluation is ubiquitous nowadays. A fundamental approach to assessing alternatives (e.g., students, employees, universities, countries) involves weighting criteria to calculate their final scores. Determining these weights is crucial, especially when alternatives are evaluated individually and without comparison with others. In such ca...

This work proposes a methodology based on a combination of a Physics Informed Neural Network (PINN), a dispersion model associated to the RANS k-epsilon model, and the Particle Swarm Optimization (PSO) technique, to provide the source parameters of unknown atmospheric releases. A test case based on the simulations of the wind tunnel experiment Cedv...

The cornerstone of the 2030 Agenda for Sustainable Development are the 17 Sustainable development goals (SDGs). These goals are measured through 109 indicators and, in very basic terms, the degree of achievement of the 17 SDGs for a country, the so called SDG Index, is calculated with a weighted sum without taking into account any priorities among...

One of the crucial aspects of solving robust optimization over time (ROOT) problems is to efficiently approximate the robustness of the solutions. However, current progress in this area has been scarce to date. To help bridge this gap, this paper proposes an alternative approach to one of the predominant frameworks in this field. Specifically, we d...

Tourist trip design is a fast-growing area of research. Tourist interest, budget, travel style, safety, and the existence of travelers with special needs (for example, wheelchair accessibility) are some of the elements to consider for obtaining personalized routes. Including these elements in a single mathematical model can considerably complicate...

Automated Decision-Making Systems (ADS) have become pervasive across various fields, activities, and occupations, to enhance performance. However, this widespread adoption introduces potential risks, including the misuse of ADS. Such misuse may manifest when ADS is employed in situations where it is unnecessary or when essential requirements, condi...

The recently proposed Fuzzy Levenberg-Marquardt Damping Factor Updating Strategy (FLM) is used along with Tikhonov Regularization (TR) in order to solve a coupled conduction-radiation function estimation inverse problem. FLM consists of updating the Levenberg-Marquardt (LM) damping factor with the assist of Fuzzy Logic. To test the FLM algorithm co...

The development of chiral compounds with enhanced chiroptical properties is an important challenge to improve device applications. To that end, an optimization of the electric and magnetic dipole transition moments of the molecule is necessary. Nevertheless, the relationship between chemical structure and such quantum mechanical properties is not a...

The development of chiral compounds with enhanced chiroptical properties is an important challenge to improve device applications. To that end, an optimization of the electric and magnetic dipole transition moments of the molecule is necessary. Nevertheless, the relationship between chemical structure and such quantum mechanical properties is not a...

Diffusion, a widespread phenomenon in nature, is commonly used to model various processes. This study focuses on complex anomalous diffusion processes involving temporary retention. We propose an inverse problem approach to estimate the redistribution behavior using synthetic experimental data. By assuming a polynomial of degree N, we determine bot...

A configuration for the integral problem of in-core fuel management consists of a fuel lattice and a fuel assembly designs, as well as a fuel reload and a control rod pattern design, so that the different criteria for the proper operation of a BWR reactor are met. Such a configuration or solution is not unique. There is an universe of potential can...

Introducción: En la localización de instalaciones y la orientación para itinerarios turísticos existen parámetros que podrían cambiar en el tiempo. Actualmente, los problemas de localización de instalaciones no modelan el dinamismo en la disponibilidad de los tipos de instalaciones. Por otro lado, en la mayoría de los problemas de orientación se as...

Robust optimization over time (ROOT) is a relatively recent topic in the field of dynamic evolutionary optimization (EDO). The goal of ROOT problems is to find the optimal solution for several environments at the same time. Although significant contributions to ROOT have been published in the past, it is not clear to what extent progress has been m...

The present work presents two different approaches for an epidemic disease spreading process based on the already established SIR Model, the first approach uses a cellular automata approach to simulate an epidemy, the second approach uses a biflux spatial diffusion equation, based on the model developed by Bevilacqua and Galeão to simulate the same...

The traveling salesman problem is notorious not only for its significance in theoretical computer science but also for the vast number of real-world problems it is involved in. In this paper, we propose a branch and bound method and a 2-opt method for solving traveling salesman problems, in situations where pairwise distances, costs, or travel time...

An efficient and accurate system capable of predicting contaminant source location is important for environmental monitoring and security systems. However, one of the main challenges in developing such a system is the high computational cost associated with modeling the physical aspects of atmospheric dispersion. The present work addresses this iss...

There is a vast number of contributions in the literature dealing with problems for which they explicitly consider the imprecision in the inputs while keeping the output in crisp terms. Moreover, as the complexity in the representation of imprecision increases (for example, from triangular fuzzy numbers to type-2 fuzzy sets), a higher effort is req...

In this paper we propose a method for the evaluation of university academic performance from a multi-criteria decision making perspective, and with partial information on the preference of the criteria. In our model, these criteria are the partial evaluations contemplated by a given subject, while the solutions or alternatives to the problem are th...

The Point-Of-Interest (POI) relocation problem is a challenge encountered during the construction of personalized maps for given groups of users. This kind of maps was already studied and is known in the scientific literature under the name of “adaptive maps”. In this work, we formulate this problem as a subclass of the widely studied Distance Geom...

Decisions made in areas such as economics, engineering, industry, and medical sciences are usually based on finding and interpreting solutions to optimization problems. When modeling an optimization problem, it should be clear that people do not make decisions in a vacuum or in isolation from the reality. So, there is always a decision-making conte...

Harvesting model solved using Lukasiewicz's connectives with context included a priori

Harvesting model solved using simulation and Zadeh's connectives with context included a posteriori

Harvesting model solved using simulation and Lukasiewicz's connectives with context included a posteriori

Harvesting model solved using Zadeh's connectives with context included a priori

La optimización robusta en el tiempo es un tema relativamente reciente dentro de la computación evolutiva, para la que no existe hasta ahora una caracterización adecuada de la incertidumbre presente en la función objetivo del problema. Este trabajo propone una clasificación de este aspecto, y organiza las contribuciones actuales de acuerdo a las ca...

The tourist trip design problem (TTDP) is a well-known extension of the orienteering problem, where the objective is to obtain an itinerary of points of interest for a tourist that maximizes his/her level of interest. In several situations, the interest of a point depends on when the point is visited, and the tourist may delay the arrival to a poin...

Location problems have been highly studied in the field of logistics. A classic location model is the maximal covering location problem (MCLP), which attempts to locate a limited number of facilities in order to maximize the overall covered demand. The dynamic MCLP (DMCLP) is a well-known generalization where the facilities are located in several p...

Solving a perishable food distribution problem in a real world setting is a very complex task. This is due to products characteristics, and the requirements of customers. To ensure a safe, quality product with a desired service level, a bunch of specifications should be included during the decision/optimization process. Generally, it’s difficult to...

Several projects have been proposed in recent years with the goal of restoring some of Cartagena’s (a Spanish city) old military batteries so that they can be turned into touristic, scientific, or cultural sites. In previous work, a combination of AHP and TOPSIS (A+T, hereafter) was applied to prioritize such batteries. In this paper, we address th...

Los computadores procesan información y toman decisiones. Hasta hace poco, las decisiones que tomaban no eran complejas, pero debido a los incesantes avances tecnológicos que se producen, los sistemas basados en inteligencia artificial están logrando niveles de competencia en la toma de decisiones que en muchos contextos igualan o superan a las per...

Optimization problems are ubiquitous nowadays. Many times, their corresponding computational models necessarily leave out of consideration several characteristics and features of the real world, so trying to obtain the optimum solution can not be enough for a problem solving point of view. The aim of this paper is to illustrate the role of metaheur...

p>Computers process information and make decisions. Until recently, the decisions they made were not complex, but due to the incessant technological advances that are taking place, systems based on artificial intelligence are achieving levels of competence in decision-making that in many contexts equal or surpass those of humans. These are autonomo...

p>Computers process information and make decisions. Until recently, the decisions they made were not complex, but due to the incessant technological advances that are taking place, systems based on artificial intelligence are achieving levels of competence in decision-making that in many contexts equal or surpass those of humans. These are autonomo...

In this paper a new methodology to speed up the fuel lattice design optimization in a BWR is explored. In previous works, fuel lattice optimization was made using LPPF (Local Power Peaking Factor) at the beginning of the fuel lattice life. However, undesirable LPPF vs. fuel lattice exposure behaviors were observed. Due to this, LPPF vs. fuel lattic...

Resumen-Este trabajo tiene por objetivo analizar el impacto medioambiental (huella de carbono) que produce la ejecución de metaheurísticas. Mediante la simulación de un escenario típico en el contexto de la optimización evolutiva, se busca concienciar sobre la necesidad de tener en cuenta dicho im-pacto a la hora de diseñar experimentos. Con el obj...

Several situations associated with the Sustainable Development Goals can be modeled as optimization problems that, under certain circumstances, can be solved with metaheuristics. In this paper we focus in the environmental impact (carbon footprint) that running such techniques produces. Through the simulation of two typical scenarios in the context...

The question of whether the use of crisp or fuzzy input information in the TOPSIS method produces a different ranking is explored. Using a basic representation of fuzziness through triangular fuzzy numbers, a set of randomly generated fuzzy and crisp multicriteria decision problems are solved. Then, the corresponding rankings are compared and vari...

High transportation costs and poor quality of service are common vulnerabilities in various logistics networks, especially in food distribution. Here we propose a many-objective Customer-centric Perishable Food Distribution Problem that focuses on the cost, the quality of the product, and the service level improvement by considering not only time w...

The result of a multiobjective or a many-objective optimization problem is a large set of non-dominated solutions. Once the Pareto Front (or a good approximation of it) has been found, then providing the decision maker with a smaller set of “interesting solutions” is a key step. Here, the focus is on how to select such a set of solutions of interes...

To build Intelligent Systems that act in daily life like people do, it is very important to know in depth the mechanisms that govern the decision processes that human beings follow. The context in which a decision process is developed is a key aspect that needs to be known in depth. In this paper, this aspect is defined and studied. Accordingly the...

The Variable Size and Cost Bin Packing Problem (VSCBPP) consists of minimizing the cost of all bins used to pack a set of items without exceeding the bins capacities. It is a well known NP-Hard problem with many practical applications. In this contribution we assume that the capacity of a bin can be understood in a flexible way (so it may allow som...

The availability of Wi-Fi connection points or hotspots in places such as parks, transport stations, libraries, and so on is one of the key aspects to allow people the usage of Internet resources (to study, work or meet). This is even more important in Central America and Caribbean countries where the deployment of huge cost infrastructure (like op...

Artificial Intelligence based systems may be used as digital nudging techniques that can steer or coerce users to make decisions not always aligned with their true interests. When such systems properly address the issues of Fairness, Accountability, Transparency, and Ethics, then the trust of the user in the system would just depend on the system's...

A new approach for optimizing the enrichment and gadolinia distribution in a typical BWR fuel lattice is presented. It takes advantage of potentialities of two different methodologies: the Ant-Colony-System (ACS) meta-heuristic technique and S15 a method based on knowledge. The S15 method was programmed in such a way that can reduce the objective f...

A “standard” map provides a simplified representation of the real world but is not able to adapt to the needs of different users having different preferences. On the contrary, adaptive maps are aimed at representing the world as seen through the eyes of the user depicting the suitability/difficulty of the paths between points of interest according...

Robust optimization over time (ROOT) is a novel research topic in the field of evolutionary dynamic optimization, in which only just there has been few advances. Specifically, one of the less developed topic is how to define an approximation model (AM) that suitably characterizes the past environments. For a ROOT algorithm this is a key issue that...

When we deal with problems of decision making where we need to give an order of alternatives and the rewards (number of points earned in a race) are not associated with the criteria, but with positions, it makes sense to deal with ordered weighted averaging (OWA) operators. Within the class of OWA operators we can consider those that are based on a...

Computational modelling has demonstrated its great ability to predict phenotypes from genotypes and ease metabolic engineering tasks. This paper proposes a new strain design framework to identify genetic manipulations leading to high production of compounds of interest. The framework formulates strain design as a bilevel multiobjective optimisation...

Computer-aided techniques have been widely applied to analyse the biological circuits of microorganisms and facilitate rational modification of metabolic networks for strain design in order to maximise the production of desired biochemicals for metabolic engineering. Most existing computational methods for strain design formulate the network redesi...

The Personalized Route Problem with fuzzy constraints deals with the problem of finding a set of routes according to the users’ preferences. The solutions are obtained solving a set of problems associated with different α-cuts. However, under different α values unique solutions are not guaranteed, being possible to obtain a set of duplicated soluti...

This chapter presents a spatial decision support system called FuzzyCovering, which is designed to support the decision-making process related to facility location problems. Different components that facilitate modeling, the solution and results display, specifically about covering location problems are integrated in FuzzyCovering. FuzzyCovering al...

Personalization of pedestrian routes becomes a necessity due to the wide variety of user profiles that may differ on preferences or requirements to choose a route. Several software applications offer routes usually based on single criterion like distance or time; however, these criteria do not often fit the pedestrian needs. Here, we will first fo...

This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in to...

This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in t...

In this contribution we want to shed light onto the following research question: in the context of multicriteria decision making problem, does the nature of the information available (either crisp or fuzzy) has any impact in the ranking of the alternatives? We explore this situation using randomly generated decision problems and the VIKOR method as...

The importance that decision-making problems and optimisation problems have today in all aspects of life is beyond all doubt. Despite that importance, both problems tend to be thought of as following different routes, when they have, in fact, a “symbiotic” relation. Here, we consider the different decision problems that arise when different kinds o...

The location of facilities (antennas, ambulances, police patrols, etc) has been widely studied in the literature. The maximal covering location problem aims at locating the facilities in such positions that maximizes certain notion of coverage. In the dynamic or multi-period version of the problem, it is assumed that the nodes’ demand changes with...

Rank reversal is a common phenomenon in multi-criteria decision-making methods. It appears when the addition/deletion of new options to the alternatives’ set produces a change in the original ranking. In this contribution, we want to assess this phenomenon in the context of the VIKOR method. Using randomly generated multi-criteria decision problems...

https://www.morebooks.de/store/es/book/making-decisions-in-the-presence-of-adversaries:-models-and-results/isbn/978-3-330-04443-2

When we face an optimization problem whose definition (in some aspect) changes over the time, we are in the presence of a Dynamic Optimization Problem (DOP). The aspects that can change are the objective function, the variables' domain, the appearance/disappearance of variables or constraints, etc. This paper aims at providing a first introduction...

An inherent limitation of Linear Programming is the need to know precisely all the conditions concerning the problem being modeled. This is not always possible as there exist uncertainty situations which require a more suitable approach. Fuzzy Linear Programming allows working with imprecise data and constraints, leading to more realistic models. D...

Given a multicriteria decision-making problem, an obvious question emerges: Which method should be used to solve it? Although some efforts had been made, the question remains open. The aim of this contribution is to compare a set of multicriteria decision-making methods sharing three features: same fuzzy information as input data, the need of a dat...

The global incidence of dengue has grown dramatically in recent decades and about half of the world's population is now at risk. The proper deployment of mobile health teams is one of the tools available to control the mosquitoes population responsible of the illness transmission. The team deployment problem can be casted as a maximal coverage loca...

An inherent limitation of Linear Programming is the need to know precisely all the conditions concerning the problem being modeled. This is not always possible as there exist uncertainty situations which require a more suitable approach. Fuzzy Linear Programming allows working with imprecise data and constraints, leading to more realistic models. D...