@inproceedings{cotta24memetico,

title = {Un Algoritmo Memético para la Optimización de la Evacuación de Interiores},

author = {Carlos Cotta},

year  = {2024},

date = {2024-06-19},

booktitle = {Actas del XV Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB)},

address = {La Coruña, Spain},

keywords = {},

pubstate = {forthcoming},

tppubtype = {inproceedings}

}

@inproceedings{cotta24optimization,

title = {Optimization-Driven Workplace Evacuation using Evolutionary Algorithms and Derivative-Free Methods},

author = {Carlos Cotta},

year  = {2024},

date = {2024-04-25},

urldate = {2024-04-25},

booktitle = {Proceedings of the 8th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence},

pages = {6p.},

publisher = {ACM Press},

address = {Singapore},

keywords = {},

pubstate = {forthcoming},

tppubtype = {inproceedings}

}

@inproceedings{cotta24evolutionary,

title = {Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments},

author = {Carlos Cotta and José E. Gallardo},

editor = {Stephen Smith and João Correia and Christian Cintrano},

doi = {10.1007/978-3-031-56852-7_13},

year  = {2024},

date = {2024-04-03},

urldate = {2024-04-03},

booktitle = {Applications of Evolutionary Computing - 27th International Conference, EvoApplications 2024},

volume = {14634},

pages = {194-208},

publisher = {Springer},

address = {Cham, Switzerland},

series = {Lecture Notes in Computer Science},

abstract = {The problem of finding the optimal placement of emergency exits in an indoor environment to facilitate the rapid and orderly evacuation of crowds is addressed in this work. A cellular-automaton model is used to simulate the behavior of pedestrians in such scenarios, taking into account factors such as the environment, the pedestrians themselves, and the interactions among them. A metric is proposed to determine how successful or satisfactory an evacuation was. Subsequently, two metaheuristic algorithms, namely an iterated greedy heuristic and an evolutionary algorithm (EA) are proposed to solve the optimization problem. A comparative analysis shows that the proposed EA is able to find effective solutions for different scenarios, and that an island-based version of it outperforms the other two algorithms in terms of solution quality},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{cotta23enhancing,

title = {Enhancing Evolutionary Optimization Performance under Byzantine Fault Conditions},

author = {Carlos Cotta },

editor = {García Bringas, P. and others},

doi = {10.1007/978-3-031-40725-3_29},

year  = {2023},

date = {2023-09-06},

urldate = {2023-09-06},

booktitle = {Hybrid Artificial Intelligence Systems - HAIS 2023},

volume = {14001},

pages = {341-351},

publisher = {Springer},

address = {Cham, Switzerland},

series = {Lecture notes in Computer Science},

abstract = {We evaluate the performance of panmictic evolutionary algorithms (EAs) in Byzantine environments, where fitness values are unreliable due to the potential presence of malicious agents. We investigate the impact of this phenomenon on the performance of the algorithm considering two different models of malicious behavior of different severity, taking the unreliability rate of the environment as a control parameter. We observe how there can be a significant toll in the quality of the results as the prevalence of cheating behavior increases, even for simple functions. Subsequently, we endow the EA with mechanisms based on redundant computation to cope with this issue, and examine their effectiveness. Our findings indicate that while a mechanism based on statistical averaging can be an effective approach under a relatively benign fault model, more hostile environments are better tackled via an approach based on majority voting.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{cotta23tackling,

title = {Tackling Adversarial Faults in Panmictic Evolutionary Algorithms},

author = {Carlos Cotta},

doi = {10.1145/3583133.3596426},

isbn = {979-8-4007-0120-7/23/07},

year  = {2023},

date = {2023-07-15},

urldate = {2023-07-15},

booktitle = {Genetic and Evolutionary Computation Conference Companion (GECCO '23 Companion)},

pages = {2 pages},

publisher = {ACM Press},

address = {New York, NY},

abstract = {We analyze the performance of panmictic evolutionary algorithms in byzantine environments in which fitness can be computed by malicious agents. We measure the influence of the rate of unreliability of the environment, and the effect that a simple mechanism based on redundant computation can have on the results attained.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{colomine23epoch,

title = {Epoch-based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization},

author = {F. Colomine Durán and Carlos Cotta and Antonio Fernández-Leiva},

editor = {J. Correia and S. Smith and R. Qaddoura},

doi = {10.1007/978-3-031-30229-9_14},

year  = {2023},

date = {2023-04-12},

urldate = {2023-04-12},

booktitle = {Applications of Evolutionary Computation - EvoApplications 2023},

volume = {13989},

pages = {210–222},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{cotta2023performance,

title = {On the Performance of Evolutionary Algorithms with Unreliable Fitness Information},

author = {Carlos Cotta},

editor = {Antonio M. Mora},

year  = {2023},

date = {2023-04-12},

urldate = {2023-04-12},

booktitle = {EvoStar 2023 Late Breaking Abstracts},

address = {Brno, Czech Republic},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{bossavit22crazy,

title = {Crazy Chefs!: videojuego serio gamificado basado en tecnología de captura de movimientos para fomentar la socialización y el entrenamiento físico de personas mayores},

author = {Benoit Bossavit and Juan Miguel Urbano and Antonio Fernández-Leiva},

year  = {2022},

date = {2022-12-01},

urldate = {2022-12-01},

booktitle = {I Congreso Español de Videojuegos (CEV 2022)},

address = {Madrid},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{trinidad22juego,

title = {Juego de experiencia inmersiva basado en biometría previa para análisis de miembro superior: comparación entre controladores y rastreo de manos},

author = {Manuel Trinidad-Fernández and Javier Salgado-Fernández and Benoît Bossavit and Antonio Cuesta-Vargas and Antonio Fernández-Leiva},

year  = {2022},

date = {2022-12-01},

urldate = {2022-12-01},

booktitle = {I Congreso Español de Videojuegos (CEV 2022)},

address = {Madrid},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ruiz22tesis,

title = {Tesis en 6 minutos: Diseño y generación automática de videojuegos},

author = {Jorge Ruiz Quiñones and Antonio Fernández-Leiva},

year  = {2022},

date = {2022-12-01},

urldate = {2022-12-01},

booktitle = {I Congreso Español de Videojuegos (CEV 2022)},

address = {Madrid},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{cotta2022resilient,

title = {Resilient Bioinspired Algorithms: A Computer System Design Perspective},

author = {Carlos Cotta and Gustavo Olague},

editor = {J. L. J. Laredo and I. Hidalgo and K. Babaagba},

url = {https://riuma.uma.es/xmlui/handle/10630/23987},

year  = {2022},

date = {2022-04-15},

urldate = {2022-04-15},

booktitle = {Applications of Evolutionary Computation - EvoApplications 2022},

volume = {13224},

pages = {619-631},

publisher = {Springer},

address = {Cham},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}