36 results for “cost allocation”

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Research ArticleOpen accessIn the abstract“OPTIMIZATION OF MULTI-COMMODITIES CONSUMER SUPPLY CHAINS FOR-PART I-MODELING”Zeinab Haji Abolhasani, Romeo M. Marian, Lee LoungThis study and its companions (Part II, Part III) will concentrate on optimizing a class of supply chain problems known as Multi-Commodities Consumer Supply Chain (MCCSC) problem. MCCSC problem belongs to Production-Distribution (P-D) planning category. It aims to determine facilities location, consumers’ allocation and facilities configuration to minimize total Cost (CT) of the entire network. These facilities can be manufacturer … …Journal of Computer Science, Vol. 9, Issue 12 · 26 Nov 2013 · 7,840 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCOMPARISON USING PARTICLE SWARM OPTIMIZATION AND GENETIC ALGORITHM FOR TIMETABLE SCHEDULINGDennise AdriantoLecturer timetable scheduling is an important part in the resource allocation planning. Due to the large amount of transactions and various related constraints have to be taken into account in timetable scheduling process, resource manager team shall need a lot of time to the solve the problem. This research is aimed to discuss the application of Particle Swarm Optimization (PSO) … …Journal of Computer Science, Vol. 10, Issue 2 · 20 Nov 2013 · 7,027 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEconomic Impact of E. Coli O111 Outbreak in 1995 in AustraliaShahjahan Ali Khandaker, Mohammad AlauddinIncreased incidence of food-borne illnesses is a matter of significant concern for the community and the government alike. An outbreak of E. coli O111 that occurred in Australia in 1995 affected 200 people of whom 22 developed HUS while one person died. This study analyses the economic costs of the outbreak. The total cost of the outbreak is estimated to … …American Journal of Applied Sciences, Vol. 1, Issue 4 · 31 Dec 2004 · 7,553 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOptimized Cloud Load Balancing Using Deep Q-Learning With Inverted S-Shaped Hierarchical Reverse Superb Fairy-Wren OptimizationB. R. Yogeetha, S. P. AnandarajCloud computing offers a scalable and cost-effective platform by providing on-demand access to shared computational resources. However, effective load balancing is essential to maintain optimal performance and maximize resource utilization for ensuring even distribution of network traffic across servers, preventing overload, improving response time and enhancing the system reliability. This manuscript proposes the Deep Q-Network with Inverted S-shaped Hierarchical Reverse … …Journal of Computer Science, Vol. 22, Issue 6 · 4 Jun 2026 · 1,497 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordAdvanced Grasshopper Optimization Scheduling Algorithm (AGOSA) for Multi-Cloud EnvironmentsS. Gowri, A. SumathiThe multi-cloud scheduling problem refers to the challenging task of efficiently allocating and managing resources across multiple cloud environments, involving the optimization of task scheduling, resource allocation to minimize makespan, reduce resource costs, and handle the complexity of multi-cloud environments while making optimal scheduling decisions. To overcome this issue. The paper proposes a novel scheduling algorithm, the Advanced Grasshopper Optimization … …Journal of Computer Science, Vol. 21, Issue 10 · 24 Nov 2025 · 2,646 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordEFFECTIVE HEURISTIC ALGORITHM FOR DYNAMIC ROUTING AND BANDWIDTH MANAGEMENT UNDER QUALITY OF SERVICE CONSTRAINTS IN MULTISTAGE INTERCONNECTION NETWORKSR. Deepalakshmi, S. RajaramToday, Internet of Things (IoT) has introduced abundant bandwidth consumption and necessities in multimedia communications from online games to video-conferencing applications with the constraint of QoS requirements from time to time. The expected rapid proliferation of services would require performance unprecedented in the currently available best-effort routing algorithms. In, particular, the present routing mechanisms are based on the best-effort paradigm … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 7 Jan 2014 · 7,138 accessesView PDF Cite