Listar por autor "Cotta-Porras, Carlos"
Mostrando ítems 21-29 de 29
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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 ...