%0 Journal Article 
%A Guerrero Granados, Bethsy
%T Computational intelligence approach for multiagent coordination in emergency management of technological accidents

%U http://hdl.handle.net/10584/12101
%X This thesis explores the application of Computational Intelligence techniques in improving emergency response during technological disasters. It introduces a coordinated decision-making system based on CI techniques, including the Improved Genetic Algorithm (IGA), Improved Multi-Objective Particle Swarm Optimization (IMOPSO), and Dynamically Adjusted Multi-Objective Water Wave Optimization (DAMOWWO), which significantly enhance emergency management system performance by applying the coordination mechanisms to the agents. Comparative analysis revealed that IGA and DAMOWWO outperformed state-of-the-art algorithms by 22.3% and 20.84%, respectively. IMOPSO demonstrated a 18.12%, improvement. These findings underscore the remarkable effectiveness of these approaches in orchestrating task assignments, particularly in scenarios characterized by low and high-severity emergencies. Consequently, this study emphasizes the paramount importance of harnessing the potential of CI techniques to expedite and enhance the efficiency of disaster response efforts.
%K Inteligencia computacional
%K Accidentes de trabajo
%K Primeros auxilios
%~ GOEDOC, SUB GOETTINGEN