Listar por autor "Cotta-Porras, Carlos"
Mostrando ítems 21-33 de 33
-
Memetic collaborative approaches for finding balanced incomplete block designs
Rodríguez Rueda, David; Cotta-Porras, Carlos
; Fernández-Leiva, Antonio José (Elsevier, 2020)
The balanced incomplete block design (BIBD) problem is a difficult combinatorial problem with a large number of symmetries, which add complexity to its resolution. In this paper, we propose a dual (integer) problem ... -
Metaheuristic Approaches to the Placement of Suicide Bomber Detectors.
Cotta-Porras, Carlos; Gallardo-Ruiz, José Enrique (Springer Nature, 2017-05-15)
Suicide bombing is an infamous form of terrorism that is becoming increasingly prevalent in the current era of global terror warfare. We consider the case of targeted attacks of this kind, and the use of detectors distributed ... -
Metaheuristics for the Template Design Problem: Encoding, Symmetry and Hybridisation
Rodríguez Rueda, David; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José (Springer, 2021)
The template design problem (TDP) is a hard combinatorial problem with a high number of symmetries which makes solving it more complicated. A number of techniques have been proposed in the literature to optimise its ... -
New Perspectives on the Optimal Placement of Detectors for Suicide Bombers using Metaheuristics.
Cotta-Porras, Carlos; Gallardo-Ruiz, José Enrique (Springer Nature, 2019)
We consider an operational model of suicide bombing attacks –an increasingly prevalent form of terrorism– against specific targets, and the use of protective countermeasures based on the deployment of detectors over the ... -
On Meme Self-Adaptation in Spatially-Structured Multimemetic Algorithms
Nogueras, Rafael; Cotta-Porras, Carlos (2014-09-23)
Multimemetic algorithms (MMAs) are memetic algorithms that explicitly exploit the evolution of memes, i.e., non-genetic expressions of problem-solving strategies. We consider a class of MMAs in which these memes are rewriting ... -
Optimización en videojuegos: retos para la comunidad científica
Lara-Cabrera, Raúl; Nogueira-Collazo, Mariela; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José (2015-02-09)
Este artículo analiza algunos de los desafíos más interesantes a los cuales los miembros de la comunidad MAEB pueden enfrentarse en el área de la aplicación de técnicas de Inteligencia Artificial/Computacional al diseño y ... -
Optimization-Driven Workplace Evacuation using Evolutionary Algorithms and Derivative-Free Methods
Cotta-Porras, Carlos (ACM, 2024)
We consider the problem of optimizing the evacuation of a workplace environment by deciding the best arrangement of emergency exits. To this end, we consider a simulation-based approach that relies on the use of cellular ... -
Optimizing Hearthstone Agents using an Evolutionary Algorithm.
García Sánchez, Pablo; Tonda, Alberto; Fernández-Leiva, Antonio José; Cotta-Porras, Carlos (Elsevier, 2020)
Digital collectible card games are not only a growing part of the video game industry, but also an interesting research area for the field of computational intelligence. This game genre allows researchers to deal with ... -
Resilient Bioinspired Algorithms: A Computer System Design Perspective
Cotta-Porras, Carlos; Oague, Gustavo (SpringerLink, 2022)
Resilience can be defined as a system's capability for returning to normal operation after having suffered a disruption. This notion is of the foremost interest in many areas, in particular engineering. We argue in this ... -
Sensitivity Analysis of Checkpointing Strategies for Multimemetic Algorithms on Unstable Complex Networks
Cotta-Porras, Carlos; Nogueras, Rafael (2015-06-17)
The use of volatile decentralized computational platforms such as, e.g., peer-to-peer networks, is becoming an increasingly popular option to gain access to vast computing resources. Making an effective use of these resources ... -
Using an Agent-Based Cellular Automaton for Emergency Evacuation Simulation
Bueno-Vallejo, David; Cotta-Porras, Carlos; Gallardo-Ruiz, José Enrique (Springer, 2024)
We consider a simulation-based approach to address crowd evacuation problems. An agent-based cellular automaton model is used to model the environment and the collective behavior of the crowd, taking into account both ... -
Using Self-Adaptive Evolutionary Algorithms to Evolve Dynamism-Oriented Maps for a Real Time Strategy Game
Lara-Cabrera, Raúl; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José (Springer-Verlag, 2013)
This work presents a procedural content generation system that uses an evolutionary algorithm in order to generate interesting maps for a real-time strategy game, called Planet Wars. Interestingness is here captured by the ... -
Virtual player design using self-learning via competitive coevolutionary algorithms
Nogueira-Collazo, Mariela; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José (Springer, 2014-06)
The Google Artificial Intelligence (AI) Challenge is an international contest the objective of which is to program the AI in a two-player real time strategy (RTS) game. This AI is an autonomous computer program that governs ...