{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:04:35Z","timestamp":1755219875771,"version":"3.43.0"},"reference-count":0,"publisher":"SASA Publications","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JOWUA"],"published-print":{"date-parts":[[2025,6,30]]},"abstract":"<jats:p>This study addresses the challenge of balancing personnel safety, operational costs, and travel\nefficiency in complex decision-making environments. This study evaluates the Queen Honey Bee\nMigration (QHBM) algorithm in comparison to Particle Swarm Optimization (PSO), Genetic\nAlgorithm (GA), and Firefly Algorithm (FA) under various risk conditions. The objective of this\nresearch is to determine the most effective optimization technique for improving personnel safety,\ncost efficiency, and convergence rate. This study uses experimental implementation of QHBM, GA,\nFA, and PSO within specified risk constraints and assesses their performance with optimization\nmetrics. The results show that QHBM outperforms other algorithms in terms of cost efficiency,\nconvergence speed, and personnel safety. QHBM can improve PSO performance by 20% over GA\nand FA in terms of personnel safety. QHBM is 15% more cost efficient than GA, FA, and PSO\nmethods with the fastest QHBM convergence rate of only 30 to 50 iterations. This study also found\nthe potential of QHBM as a robust and adaptive optimization technique compared to other\nalgorithms. Further research is recommended to implement QHBM in the real world, especially in\ncomplex, high-risk work operations.<\/jats:p>","DOI":"10.58346\/jowua.2025.i2.051","type":"journal-article","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T12:26:06Z","timestamp":1754569566000},"page":"833-851","source":"Crossref","is-referenced-by-count":0,"title":["Multi-Objective Optimization of Tactical Rescue Strategies Using QHBM and IoT in Urban Conflict Zones"],"prefix":"10.58346","volume":"16","author":[{"given":"Dodo","family":"Irmanto","sequence":"first","affiliation":[]},{"given":"Aripriharta","family":"Aripriharta","sequence":"additional","affiliation":[]},{"given":"Sujito","family":"Sujito","sequence":"additional","affiliation":[]}],"member":"37075","published-online":{"date-parts":[[2025,6,30]]},"container-title":["Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications"],"original-title":[],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T12:26:09Z","timestamp":1754569569000},"score":1,"resource":{"primary":{"URL":"https:\/\/jowua.com\/wp-content\/uploads\/2025\/08\/2025.I2.051.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025,6,30]]},"published-print":{"date-parts":[[2025,6,30]]}},"URL":"https:\/\/doi.org\/10.58346\/jowua.2025.i2.051","relation":{},"ISSN":["2093-5374","2093-5382"],"issn-type":[{"value":"2093-5374","type":"print"},{"value":"2093-5382","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,30]]}}}