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Titlebook: Innovations in Bio-Inspired Computing and Applications; Proceedings of the 1 Ajith Abraham,Hideyasu Sasaki,Kun Ma Conference proceedings 20

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樓主: CAP
31#
發(fā)表于 2025-3-26 23:17:57 | 只看該作者
A Hybrid Trust Probability Based C-ACO Model for Large Software Defined Networks,ational time and memory constraints. Most of the conventional Software Defined Networks (SDN) are independent of dynamic path planning parameters and network topology due to change in data size and communication range. Also, these models are not efficient in large scale systems due to lack of node t
32#
發(fā)表于 2025-3-27 02:53:59 | 只看該作者
Novel Routing-Scheduling Problem for Home Health Care Network,and being on time for it. Based on feedback from home health care networks (HHCNs), caregivers and nurses should encounter some ambiguities when performing a specific plan for visiting patients. In this study, we presented a model for a Home Health Care Routing and Scheduling Problem (HHCRSP) by con
33#
發(fā)表于 2025-3-27 05:28:10 | 只看該作者
A Data-Driven Dynamic Discretization Framework to Solve Combinatorial Problems Using Continuous Met in solving these problems are metaheuristics. The two basic search behaviors used in metaheuristics are exploration and exploitation, and the success of metaheuristic search largely depends on the balance of these two behaviors. Machine learning techniques have provided considerable support to impr
34#
發(fā)表于 2025-3-27 12:01:16 | 只看該作者
Minimizing Tardiness in Stochastic Flexible Job Shop Problem,ution for assign jobs to machines and batch’s processing sequence to minimizing tardiness. First a Mixed Integer Programming (MIP) formulation is proposed for the first time. Primarily proposes solution method is based on the genetic algorithm to solve the deterministic problem. The results obtained
35#
發(fā)表于 2025-3-27 15:41:42 | 只看該作者
Classification of Metabolic Pathways Using Machine Learning Techniques,le metabolic network from a genome. In present study an attempt has been made to detect various pathways in cancer and viral infections using machine learning techniques. The data was collected from metabolic networks of six different types of cancer pathways and viral infections pathways known to c
36#
發(fā)表于 2025-3-27 20:38:54 | 只看該作者
Cooperative Slotted ALOHA with ZigZag Decoding and a Pricing Mechanism,our previous work, the cooperative SA-ZD was analyzed under the assumption of cost-free transmissions. However, this assumption is not always held since nodes are usually battery-powered devices. Therefore, it is of great interest to analyze such a scenario. To this aim, we propose to study the impa
37#
發(fā)表于 2025-3-27 23:59:14 | 只看該作者
38#
發(fā)表于 2025-3-28 05:21:51 | 只看該作者
39#
發(fā)表于 2025-3-28 09:49:29 | 只看該作者
40#
發(fā)表于 2025-3-28 11:02:37 | 只看該作者
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