Optimization of crowd evacuation in case of emergency, 2023
Contributors: Carlos Cotta, José E. Gallardo
This project has the following dependencies:
- derivative-free-optimization: optimization with derivative-free methods
- memetic-continuous : memetic algorithms for continuous optimization
- ea: evolutionary algorithm library for optimization
- json-simple: library for parsing configuration files and dumping statistics.
- pedestrian-evacuation-simulator-cellular-automaton: cellular automaton library for simulating crowd behavior
- pedestrian-evacuation-simulator-environment: library for representing an manipulating environments from which evacuation is to be performed
- pedestrian-evacuation-simulator-cellular-automaton-trace: classes for representing a trace of an evacuation as simulated by a cellular automaton
- statistics: library with basic descriptive statistics
Maven users: these dependencies are already included in the pom.xml file
- Carlos Cotta, José E. Gallardo, "Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments", Applications of Evolutionary Computation – 27th International Conference, EvoApplications 2024, Stephen Smith, João Correia and Christian Cintrano (eds.), Lecture Notes in Computer Science, Springer, Berlin, 2024
- C. Cotta, "Optimization-Driven Workplace Evacuation using Evolutionary Algorithms and Derivative-Free Methods Proceedings Article", 8th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, 6p., ACM, Singapore, 2024 (forthcoming)
- C. Cotta, "Un Algoritmo Memético para la Optimización de la Evacuación de Interiores", Actas del XV Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), 5p., A Coruña, Spain, 2024 (forthcoming)
- C. Cotta, "Navigating the Aisles: Evolutionary Algorithms for Supermarket Evacuation Planning", GECCO '24 Companion: Genetic and Evolutionary Computation Conference Companion Proceedings, ACM, New York, NY, USA, 2 pages, 2024