Search results for: David A. Pelta

Items from 1 to 20 out of 42 results

article

Can Magnetic Dipole Transition Moment Be Engineered?

Rafael G. Uceda, Carlos M. Cruz, Sandra Míguez‐Lago, Luis Álvarez Cienfuegos, more

Angewandte Chemie International Edition > 63 > 4 > n/a - n/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 always clear. That is the case of magnetic dipole transition...

article

Can Magnetic Dipole Transition Moment Be Engineered?

Rafael G. Uceda, Carlos M. Cruz, Sandra Míguez‐Lago, Luis Álvarez Cienfuegos, more

Angewandte Chemie > 136 > 4 > n/a - n/a

article

Towards adaptive maps

Marina Torres, David A. Pelta, José L. Verdegay, Carlos Cruz

International Journal of Intelligent Systems > 34 > 3 > 400 - 414

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 to the user's preferences. Adaptive maps consider,...

chapter

Personalized route problem with fuzzy constraints

Marina Torres, David A. Pelta, Carlos Cruz, Jose L. Verdegay

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) > 1 - 6

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

The Personalized Route Problem resembles the so-called multi-criteria Shortest Path Problem where every arc (street) of the graph (map) has a set of costs (values) associated to a set of criteria (features). The personalization of the path comes when the user a) determines how important is each criterion according to personal preferences and b) indicates constraints on the criteria values. The preferences...

article

Fuzzy Multicriteria Decision‐Making Methods: A Comparative Analysis

Blanca Ceballos, María Teresa Lamata, David A. Pelta

International Journal of Intelligent Systems > 32 > 7 > 722 - 738

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 data normalization procedure, and quite similar information...

chapter

Fuzzy maximal covering location models for fighting dengue

Virgilio C. Guzman, David A. Pelta, Jose L. Verdegay

2016 IEEE Symposium Series on Computational Intelligence (SSCI) > 1 - 7

2016 IEEE Symposium Series on Computational Intelligence (SSCI)

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 location problem with uncertainty due to the nature of...

chapter

Fuzzy Memes in Multimeme Algorithms: a Fuzzy-Evolutionary Hybrid

Natalio Krasnogor, David A. Pelta

Studies in Fuzziness and Soft Computing > Fuzzy Sets Based Heuristics for Optimization > Soft Computing and Metaheuristics > 49-66

In this chapter we propose a robust Fuzzy-Evolutionary hybrid. Our approach successfully integrates the so called Fuzzy Adaptive Neighborhood Search with Multimeme Algorithms, blending together the expressiveness of fuzzy sets based optimization with the robustness of evolutionary search. We exemplify our approach on a hard combinatorial problem called Protein Structure Prediction.

chapter

Multimeme Algorithms Using Fuzzy Logic Based Memes For Protein Structure Prediction

David A. Pelta, Natalio Krasnogor

Studies in Fuzziness and Soft Computing > Recent Advances in Memetic Algorithms > Applications of Memetic Algorithms > 49-64

Summary In this chapter we extend our previous studies on the self-adaptation of local searchers within a Memetic Algorithm. Self-adaptation allows the MA to learn which local searcher to use during search. In particular, we extend our results in tikya[12], where memes were instantiated as Fuzzy-Logic based local searchers, and we show that our Multimeme algorithms are capable of producing new optimum...

article

An algorithm portfolio for the dynamic maximal covering location problem

Jenny Fajardo Calderín, Antonio D. Masegosa, David A. Pelta

Memetic Computing > 2017 > 9 > 2 > 141-151

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 the time and as a consequence, facilities can be opened...

article

Coverage path planning with unmanned aerial vehicles for 3D terrain reconstruction

Marina Torres, David A. Pelta, José L. Verdegay, Juan C. Torres

Expert Systems with Applications > 2016 > 55 > C > 441-451

Three-dimensional terrain reconstruction from 2D aerial images is a problem of utmost importance due its wide level of applications. It is relevant in the context of intelligent systems for disaster managements (for example to analyze a flooded area), soil analysis, earthquake crisis, civil engineering, urban planning, surveillance and defense research.It is a two level problem, being the former the...

article

Prediction of 3D nuclear reactor's operational parameters from 2D fuel lattice design information: A data mining approach

José Manuel Cadenas, Juan José Ortiz-Servin, David A. Pelta, José-Luis Montes-Tadeo, more

Progress in Nuclear Energy > 2016 > 91 > C > 97-106

In this paper the estimation of 3D BWR nuclear reactor parameters starting from 2D data is presented. The 3D parameters are obtained through a steady state simulation of the nuclear reactor's operation, namely; thermal limits and cold shutdown margin. Data mining techniques were applied to build decision trees in order to estimate those 3D reactor parameters. The decision trees were built using local...

chapter

Dynamic optimization with restricted and unrestricted moves between changes: A study on the dynamic maximal covering location problem

Jenny Fajardo Calderin, Antonio D. Masegosa, David A. Pelta

2016 IEEE Congress on Evolutionary Computation (CEC) > 570 - 577

2016 IEEE Congress on Evolutionary Computation (CEC)

Adaptation to changes in real scenarios is not a “cost-free” operation. However, in general, this is not considered in most of the studies done in dynamic optimization problems. Our focus here is to analyse what happens when a relocation cost is added in the dynamic maximal covering location problem, that is, when the adaptation to changes entails some cost. Comparing two models with and without “cost-free”...

article

A comparative analysis of multi-criteria decision-making methods

Blanca Ceballos, María Teresa Lamata, David A. Pelta

Progress in Artificial Intelligence > 2016 > 5 > 4 > 315-322

In this work, we empirically compare the rankings produced by several multi-criteria decision-making methods. We analyzed multi-MOORA, TOPSIS and three different settings for VIKOR. Using decision matrices with different number of alternatives and criteria, we compared the rankings produced using the Spearman’s correlation coefficient index. Our results showed that VIKOR could fail to obtain a ranking...

chapter

An Adaptive Multiagent Strategy for Solving Combinatorial Dynamic Optimization Problems

Juan R. González, Carlos Cruz, Ignacio G. Amo, David A. Pelta

Studies in Computational Intelligence > Nature Inspired Cooperative Strategies for Optimization (NICSO 2011) > 41-55

This work presents the results obtained when using a decentralised multiagent strategy (Agents) to solve dynamic optimization problems of a combinatorial nature. To improve the results of the strategy, we also include a simple adaptive scheme for several configuration variants of a mutation operator in order to obtain a more robust behaviour. The adaptive scheme is also tested on an evolutionary algorithm...

chapter

Introducing SACRA: A Decision Support System for the Construction of Cattle Diets

David A. Pelta, José L. Verdegay, José M. Cadenas

Studies in Fuzziness and Soft Computing > Applied Decision Support with Soft Computing > Applications and Implementations > 391-401

Diet problems are usually modelled as linear programming problems and then solved by any adequate method. Although this seems a valid approach, is almost impossible to have a perfect knowledge of all the data taking part into a particular diet problem. Such uncertainty must be managed in some way and here is where the theory of fuzzy sets and systems can show all its power. We address a problem arising...

chapter

Ant Colony Optimization for Automatic Design of Strategies in an Adversarial Model

Pablo J. Villacorta, David A. Pelta

Studies in Computational Intelligence > Nature Inspired Cooperative Strategies for Optimization (NICSO 2011) > 1-19

Adversarial decision making is aimed at determining optimal strategies against an adversarial enemy who observes our actions and learns from them. The field is also known as decision making in the presence of adversaries. Given two agents or entities S and T (the adversary), both engage in a repeated conflicting situation in which agent T tries to learn how to predict the behaviour of S. One defense...

chapter

A Critical View of the Evolutionary Design of Self-assembling Systems

Natalio Krasnogor, Graciela Terrazas, David A. Pelta, Gabriela Ochoa

Lecture Notes in Computer Science > Artificial Evolution > Self-assembling > 179-188

The automated design of systems which self-assemble is a fundamental cornerstone of nanotechnology. In this paper we review some work in which we have applied Evolutionary Algorithms (EAs) for the automated design of systems self-assembly. We will focus in three important minimalist self-assembly problems and we discuss the difficulties encountered while applying EAs to these test cases. We also suggest...

chapter

Solving Bioinformatics Problems by Soft Computing Techniques: Protein Structure Comparison as Example

Juan R. González, David A. Pelta, José L. Verdegay

Studies in Computational Intelligence > Intelligent Systems and Technologies > Applications > 123-136

Bioinformatics is a very interesting an active area that tackles difficult problems with lots of data that may have noise, missing values, uncertainties, etc. This chapter shows how the techniques that Soft Computing provides are appropriate to solve some Bioinformatics problems. This idea is then illustrated by showing several resolution techniques for one of the key problems of the Bioinformatics...

chapter

Improvement Strategies for Multi-swarm PSO in Dynamic Environments

Pavel Novoa-Hernández, David A. Pelta, Carlos Cruz Corona

Studies in Computational Intelligence > Nature Inspired Cooperative Strategies for Optimization (NICSO 2010) > 371-383

Many real world optimization problems are dynamic, meaning that their optimal solutions are time-varying. In recent years, an effective approach to address these problems has been the multi-swarmPSO (mPSO). Despite this, we believe that there is still room for improvement and, in this contribution we propose two simple strategies to increase the effectiveness of mPSO. The first one faces the diversity...

chapter

Pattern Search in Molecules with FANS: Preliminary Results

Armando Blanco, David A. Pelta, Jose-L. Verdegay

Lecture Notes in Computer Science > Applications of Evolutionary Computing > EvoBIO Contributions > 11-21

We show here how FANS, a fuzzy sets-based heuristic, is applied to a particular case of the Molecular Structure Matching problem: given two molecules A (the pattern) and B (the target) we want to find a subset of points of B whose set of intra-atomic distances is the most similar to that of A. This is a hard combinatorial problem because, first we have to determine a subset of atoms of B and then...

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INFONA - science communication portal

Search results for: David A. Pelta

Can Magnetic Dipole Transition Moment Be Engineered?

Can Magnetic Dipole Transition Moment Be Engineered?

Towards adaptive maps

Personalized route problem with fuzzy constraints

Fuzzy Multicriteria Decision‐Making Methods: A Comparative Analysis

Fuzzy maximal covering location models for fighting dengue

Fuzzy Memes in Multimeme Algorithms: a Fuzzy-Evolutionary Hybrid

Multimeme Algorithms Using Fuzzy Logic Based Memes For Protein Structure Prediction

An algorithm portfolio for the dynamic maximal covering location problem

Coverage path planning with unmanned aerial vehicles for 3D terrain reconstruction

Prediction of 3D nuclear reactor's operational parameters from 2D fuel lattice design information: A data mining approach

Dynamic optimization with restricted and unrestricted moves between changes: A study on the dynamic maximal covering location problem

A comparative analysis of multi-criteria decision-making methods

An Adaptive Multiagent Strategy for Solving Combinatorial Dynamic Optimization Problems

Introducing SACRA: A Decision Support System for the Construction of Cattle Diets

Ant Colony Optimization for Automatic Design of Strategies in an Adversarial Model

A Critical View of the Evolutionary Design of Self-assembling Systems

Solving Bioinformatics Problems by Soft Computing Techniques: Protein Structure Comparison as Example

Improvement Strategies for Multi-swarm PSO in Dynamic Environments

Pattern Search in Molecules with FANS: Preliminary Results

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