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Article
Open AccessPerfectionism Patterns, Dark Personality, and Exercise Addiction Trend in High-Intensity Sports
The present work tries to describe the relationships among perfectionism, dark traits of personality, and exercise addiction and according to highly intense sports. Following research on perfectionism in sport...
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Chapter and Conference Paper
Towards Energy Efficiency in Microgrids for Smart Sustainable Cities
Microgrids are a critical component of smart and sustainable cities as they provide localized power generation and distribution that can be optimized for efficiency, cost, and environmental impact. Further, ma...
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Article
Psychometric properties of the Weight Locus of Control Scale (MWLCS): study with Spanish individuals of different anthropometric nutritional status
The Multidimensional Weight Locus of Control Scale (MWLCS) measures a person’s beliefs regarding the locus of control or lack of locus of control over his/her body weight.
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Article
Open AccessModulation of Irisin and Physical Activity on Executive Functions in Obesity and Morbid obesity
Whether the executive profile is different between obesity (OB) and morbid obesity (MO) remains unclear. Recent evidence suggests that physical activity (PA) can act as a cognitive enhancer. Irisin is a recent...
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Article
A Pareto-based multi-objective evolutionary algorithm for automatic rule generation in network intrusion detection systems
Attacks against computer systems are becoming more complex, making it necessary to continually improve the security systems, such as intrusion detection systems which provide security for computer systems by d...
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Chapter and Conference Paper
Ant Colony Optimization for Water Distribution Network Design: A Comparative Study
The optimal design of looped water distribution networks is a major environmental and economic problem with applications in urban, industrial and irrigation water supply. Traditionally, this complex problem ha...
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Chapter and Conference Paper
A Multi-Objective Evolutionary Algorithm for Network Intrusion Detection Systems
Attacks against computer systems are becoming more complex, making it necessary to develop new security systems continually, such as Intrusion Detection Systems (IDS) which provide security for computer system...
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Chapter and Conference Paper
Multi-Objective Evolutionary Algorithms Used in Greenhouse Planning for Recycling Biomass into Energy
Advanced parallel Multi-Objective Evolutionary Algorithms (MOEA) have been used in order to solve a wide array of problems, including the planning of greenhouse crops. This paper shows the application of MOEA ...
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Chapter and Conference Paper
A New Memetic Algorithm for the Two-Dimensional Bin-Packing Problem with Rotations
The two-dimensional bin-packing problem (2D-BPP) with rotations is an important optimization problem which has a large number of practical applications. It consists of the non-overlap** placement of a set of...
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Article
Implementation of scatter search for multi-objective optimization: a comparative study
Interest in the design of efficient meta-heuristics for the application to combinatorial optimization problems is growing rapidly. The optimal design of water distribution networks is an important optimizatio...
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Chapter and Conference Paper
Design of a Snort-Based Hybrid Intrusion Detection System
Computer security has become a major problem in our society. In particular, computer network security is concerned with preventing the intrusion of an unauthorized person into a network of computers. An intrus...
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Article
Application of Several Meta-Heuristic Techniques to the Optimization of Real Looped Water Distribution Networks
The optimization of looped water distribution systems is a complex problem as the pipe flows are unknown variables. Although many researchers have reported algorithms for minimizing the network cost applying a...
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Article
A Hybrid Meta-Heuristic for Multi-Objective Optimization: MOSATS
Real optimization problems often involve not one, but multiple objectives, usually in conflict. In single-objective optimization there exists a global optimum, while in the multi-objective case no optimal solu...
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Article
A hybrid method for solving multi-objective global optimization problems
Real optimization problems often involve not one, but multiple objectives, usually in conflict. In single-objective optimization there exists a global optimum, while in the multi-objective case no optimal solu...
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Article
Predictors of mortality in patients with methicillin-resistant Staphylococcus aureus (MRSA) bacteraemia: the role of empiric antibiotic therapy
The objective of this study was to evaluate prognostic factors and the influence of different empiric antibiotic therapies on outcome and mortality in a cohort of 100 inpatients with bacteraemia (84 cases noso...
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Chapter and Conference Paper
A Memetic Algorithm for Water Distribution Network Design
The majority of real optimization problems cannot be solved exactly because they have very large and highly complex search spaces. One of these complex problems is the design of looped water distribution netwo...
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Chapter and Conference Paper
Performance Analysis of Parallel Strategies for Bi-objective Network Partitioning
A basic characteristic of multi-objective optimization is the conflict among the different objectives. In most real optimization problems it is very difficult, even not possible, to obtain an unique solution t...
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Chapter and Conference Paper
Adapting Multi-Objective Meta-Heuristics for Graph Partitioning
Real optimization problems often involve not one, but multiple objectives, usually in conflict. In single-objective optimization there exists a global optimum, while in the multi-objective case no optimal solu...
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Article
A Parallel Multilevel Metaheuristic for Graph Partitioning
One significant problem of optimisation which occurs in many scientific areas is that of graph partitioning. Several heuristics, which pertain to high quality partitions, have been put forward. Multilevel sche...
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Chapter and Conference Paper
Optimising Graph Partitions Using Parallel Evolution
The graph partitioning problem consists of dividing the vertices of a graph into a set of balanced parts, such that the number of edges connecting vertices in different parts is minimised. Although different a...
