Paper Title
HYBRIDIZING IMPROVED FIREFLY ALGORITHM WITH NEAREST-NEIGHBORHOOD HEURISTIC FOR SCHEDULING STORAGE AND RETRIEVAL MACHINE IN A MULTI-FLOOR MANUFACTURING FIRM

Abstract
Automated storage and retrieval systems (AS/RSs) are crucial in manufacturing firms for streamlining operations, but generic AS/RSs struggle to adapt to specific environments, particularly in multi-floor manufacturing firms (MFMFs). This research proposes a novel hybrid metaheuristic, Hybrid(IFA+NN), to solve the S/R machine scheduling problem (SRSP) in an aisle-captive AS/RS in MFMFs. The S/R machine handles stock with dual commands. Hybrid(IFA+NN) combines an improved Firefly Algorithm (IFA) with a Nearest Neighborhood (NN) heuristic. Experiments show that Hybrid(IFA+NN) outperforms the traditional FA in terms of operational time. Keywords - Automated Storage and Retrieval System, Scheduling, Metaheuristic, Simulation, Firefly Algorithm.