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Chapter and Conference Paper
Deployment of an IoT Platform for Activity Recognition at the UAL’s Smart Home
Currently, most smart homes are aimed at user comfort or even energy efficiency. However, there are many cases in which Ambient Assisted Living is being used, to control the health of the elderly people, or pe...
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Article
A reference point-based evolutionary algorithm for approximating regions of interest in multiobjective problems
Most evolutionary multiobjective optimization algorithms are designed to approximate the entire Pareto front. During the last decade, a series of preference-based evolutionary algorithms have been developed, w...
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Article
Design of a parallel genetic algorithm for continuous and pattern-free heliostat field optimization
The heliostat field of solar power tower plants can suppose up to 50% of investment costs and 40% of energy loss. Unfortunately, obtaining an optimal field requires facing a complex non-convex, continuous, lar...
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Article
High-performance computing for the optimization of high-pressure thermal treatments in food industry
In food industry, the combined treatments based on high-pressure and temperature (HPT) are frequently used to increase the durability of the products without damaging their organoleptic and nutritional propert...
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Article
Open AccessOptiPharm: An evolutionary algorithm to compare shape similarity
Virtual Screening (VS) methods can drastically accelerate global drug discovery processes. Among the most widely used VS approaches, Shape Similarity Methods compare in detail the global shape of a query molec...
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Article
FEMOEA: a fast and efficient multi-objective evolutionary algorithm
A multi-objective evolutionary algorithm which can be applied to many nonlinear multi-objective optimization problems is proposed. Its aim is to quickly obtain a fixed size Pareto-front approximation. It adapt...
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Article
A parallel Teaching–Learning-Based Optimization procedure for automatic heliostat aiming
The flux distribution generated by the heliostat field of solar central receiver system (SCRS) over the receiver needs to be carefully controlled. It is necessary to avoid dangerous radiation peaks and tempera...
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Article
High performance computing for the heliostat field layout evaluation
In Solar Central Receiver Systems (SCRS), the heliostat field is generally the most important subsystem in terms of initial investment and energy losses. Therefore, heliostat field layout needs to be carefully...
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Article
On heuristic bi-criterion methods for semi-obnoxious facility location
Locating a semi-obnoxious facility, like an airport or correctional center is typically a bi-criterion problem combining a convex objective function representing minimum transportation cost with a multi-extrem...
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Article
Solving a leader–follower facility problem via parallel evolutionary approaches
A leader–follower facility problem is considered in this paper. The objective is to maximize the profit obtained by a chain (the leader) knowing that a competitor (the follower) will react by locating another ...
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Article
An approach for solving competitive location problems with variable demand using multicore systems
A planar competitive location and design problem with variable demand is considered. The assumption that the demand may vary depending on the conditions of the market makes the problem more realistic, but it a...
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Article
A two-level evolutionary algorithm for solving the facility location and design (1|1)-centroid problem on the plane with variable demand
In this work, the problem of a company or chain (the leader) that considers the reaction of a competitor chain (the follower) is studied. In particular, the leader wants to set up a single new facility in a pl...
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Chapter and Conference Paper
Approximating the Pareto-front of Continuous Bi-objective Problems: Application to a Competitive Facility Location Problem
A new general multi-objective optimization heuristic algorithm, suitable for being applied to continuous multi-objective optimization problems is proposed. It deals with the problem at hand in a fast and effic...
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Article
Solving the facility location and design (1∣1)-centroid problem via parallel algorithms
Several parallel strategies for solving a centroid problem are presented. In the competitive location problem considered in this paper, the aim is to maximize the profit obtained by a chain (the leader) knowin...
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Article
Parallel evolutionary algorithms based on shared memory programming approaches
In this work, two parallel techniques based on shared memory programming are presented. These models are specially suitable to be applied over evolutionary algorithms. To study their performance, the algorithm...
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Article
Parallel algorithms for continuous multifacility competitive location problems
We consider a continuous location problem in which a firm wants to set up two or more new facilities in a competitive environment. Both the locations and the qualities of the new facilities are to be found so ...
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Article
Heuristics for the facility location and design (1|1)-centroid problem on the plane
A chain (the leader) wants to set up a single new facility in a planar market where similar facilities of a competitor (the follower), and possibly of its own chain, are already present. The follower will reac...
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Article
Sensitivity analysis of a continuous multifacility competitive location and design problem
A continuous location problem in which a firm wants to set up two or more new facilities in a competitive environment is considered. Other facilities offering the same product or service already exist in the a...
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Article
A robust and efficient algorithm for planar competitive location problems
In this paper we empirically analyze several algorithms for solving a Huff-like competitive location and design model for profit maximization in the plane. In particular, an exact interval branch-and-bound me...
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Article
A population global optimization algorithm to solve the image alignment problem in electron crystallography
Knowledge of the structure of biological specimens is critical to understanding their function. Electron crystallography is an electron microscopy (EM) approach that derives the 3D structure of specimens at hi...
