Evaluating Bio-Inspired Metaheuristics for Dynamic Surgical Scheduling: A Resilient Three-Stage Flow Shop Model Under Stochastic Emergency Arrivals

Optimal surgical scheduling necessitates a strategic balance between elective efficiency and responsiveness to stochastic emergency arrivals. This study evaluates a Genetic Algorithm alongside discretized variants of Particle Swarm Optimization, the Secretary Bird Optimization Algorithm, and the Man...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Marcelo Becerra-Rozas, Bady Gana, José Lara, Andres Leiva-Araos, Broderick Crawford, José M. Gómez Pulido, Cristian Contreras, José J. Caro-Miranda, Miguel García-Remesal
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2026-03-01
Sarja:	Biomimetics
Aiheet:	surgical scheduling population-based metaheuristics stochastic emergency arrivals three-stage flow shop operational resilience
Linkit:	https://www.mdpi.com/2313-7673/11/3/183
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