SOLVING RESCHEDULING PROBLEMS IN DYNAMIC PERMUTATION FLOW SHOP ENVIRONMENTS WITH MULTIPLE OBJECTIVES USING THE HYBRID DYNAMIC NON-DOMINATED SORTING GENETIC II ALGORITHM

Solving Rescheduling Problems in Dynamic Permutation Flow Shop Environments with Multiple Objectives Using the Hybrid Dynamic Non-Dominated Sorting Genetic II Algorithm

In this work, we seek to design a model that contributes to the study and resolution of a multi-objective rescheduling problem in dynamic permutation flow shop contexts.In this type of problem, where the objectives can be valued in heterogeneous units, the difficulty of achieving an optimal solution leads to finding Prebiotics a set of non-dominate

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Fuzzy ELM-based optimal spectrum sensing in CR-IoT network

In the Internet of Things (IoT), spectral efficiency is a major challenge since many sensors and devices are placed widely throughout the network.Spectrum scarcity issues have been a concern for the Internet of Things since its inception.The use of Cognitive Radio (CR) technology is thought to be a potential Prebiotics remedy.Two of the problems th

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