Abstract The novelty of the work is reflected in using Teaching Learning Based Optimization as metaheuristic algorithm combination with Response Surface Methodology for achieving multi response optimization two conflicting responses while machining Incoloy 800H on Wire cut EDM. It used materials and equipment furnace, petrochemical furnace cracker tubes, pigtails headers, electric heating eleme...

In the present paper, a novel method for Feature Subset Selection in dataset, FSS-TLBOA (Feature Subset Selection by Teaching Learning Based Optimization Algorithm), is proposed. A dataset can contain several features. Many Clustering methods are designed for clustering low–dimensional data. In high dimensional space finding clusters of data objects is challenging due to the curse of dimensiona...

Abstract As we enter the new age of Internet Things (IoT) and wearable gadgets, sensors, embedded devices are extensively used for data aggregation its transmission. The extent processed by IoT networks makes it vulnerable to outside attacks. Therefore, is important design an intrusion detection system (IDS) that ensures security, integrity, confidentiality their data. State-of-the-art IDSs hav...

In this first study, the rectangular reinforced concrete beam’s costs and cross-section sizes are found by using Harmony Search (HS), Differential Evolution Algorithm (DE), Jaya Algorithm, Teaching- Learning Based (TLBO), Hybrid algorithm (Jaya-TLBO) Flower Pollination (FPA) separately ACI 318 building code. addition, in order to better see how successful algorithms are, standard deviation of u...