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Results: 5
TS and ACO in Hybrid Approach for Product Distribution Problem
In order to solve the transport problem, a set of bio-inspired meta heuristics are proposed, they are based on the natural behavior of swarms, bees, birds, and ants that had emerged as an alternative to overcome the difficulties...
Published by: IGI Global
Efficient Cloudlet Allocation to Virtual Machine to Impact Cloud System Performance
Performance is an essential characteristic of any cloud computing system. It can be enhance through parallel computing, scheduling and load balancing. This work evaluates the connection between the response time (RT) and virtual...
Published by: IGI Global
Hybrid Model of Genetic Algorithms and Tabu Search Memory for Nurse Scheduling Systems
Sanjay Misra, Adebayo Abayomi-Alli, Frances Uzedu, Olusola Abayomi-Alli, Oluwasefunmi Arogundade
Jan 01, 2022
The main challenge of Nurse Scheduling Problem (NSP)is designing a nurse schedule that satisfies nurses preferences at minimal cost of violating the soft constraints. This makes the NSP an NP-hard problem with no perfect...
Published by: IGI Global
MHDNNL
Task optimization scheduling is one of the key concerns of both cloud service providers (CSPs) and cloud users. The CSPs hope to reduce the energy consumption of executing tasks to save costs, while the users are more concerned...
Published by: IGI Global
The 2023 terahertz science and technology roadmap
A Leitenstorfer, AS Moskalenko, T Kampfrath, J Kono, E Castro-Camus, K Peng, N Qureshi, D Turchinovich, K Tanaka, AG Markelz, M Havenith, C Hough, HJ Joyce, WJ Padilla, B Zhou, KY Kim, XC Zhang, PU Jepsen, S Dhillon, M Vitiello, E Linfield, AG Davies, MC Hoffmann, R Lewis, M Tonouchi, P Klarskov, TS Seifert, YA Gerasimenko, D Mihailovic, R Huber, JL Boland, O Mitrofanov, P Dean, BN Ellison, PG Huggard, SP Rea, C Walker, DT Leisawitz, JR Gao, C Li, Q Chen, G Valušis, VP Wallace, E Pickwell-Macpherson, X Shang, J Hesler, N Ridler, CC Renaud, I Kallfass, T Nagatsuma, JA Zeitler, D Arnone, MB Johnston, J Cunningham
Apr 06, 2023