The bulk of water pipes experience major degradation and deterioration problems. This research aims at estimating the condition in Shattora Shaker Al-Bahery’s distribution networks, Egypt. developed models involve training Elman neural network (ENN) feed-forward (FFNN) coupled with particle swarm optimization (PSO), genetic algorithms (GA), sine cosine algorithm (SCA), teaching-learning-based (...

– In this article, Teaching-learning opposition based optimization (TLOBO) algorithm based on the natural phenomenon of teaching and learning is applied to design an optimal higher order stable low pass (LP) and high pass (HP) IIR digital filter using different design criterion. The original TeachingLearning Based Optimization (TLBO) algorithm has been remodeled by merging the concept of opposi...

The surface tension (ST) of ionic liquids (ILs) and their accompanying mixtures allows engineers to accurately arrange new processes on the industrial scale. Without any doubt, experimental methods for specification ST every supposable IL its with other compounds would be an arduous job. Also, measurements are effortful prohibitive; thus, a precise estimation property via dependable method grea...

Nowadays advanced machining processes are widely used by manufacturing industries in order to produce high quality precise and very complex products. These advanced machining processes involve large number of input parameters which may affect the cost and quality of the products. Selection of optimum machining parameters in such advanced machining processes is very important to satisfy all the ...

One of the key reasons for performance discrepancy between a building's intended usage and actual operation is Heat Loss, which describes envelope efficiency during in-use circumstances. In this setting, ANN models’ use energy analysis green buildings has become more established. This research aims to anticipate heat loss utilizing two artificial neural network-based methodologies (ANN). partic...

The task of speaker diarization is to answer the question "who spoke when?" In this paper, we present different clustering approaches which consist of Evolutionary Computation Algorithms (ECAs) such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) algorithm, and Differential Evolution (DE) algorithm as well as Teaching-Learning-Based Optimization (TLBO) technique as a new optimizati...

Seismic isolation systems exposed to far-fault earthquakes can reduce floor accelerations and story drift ratios acceptable levels. However, they exhibit different structural performances in each earthquake due excitation frequency contents. By optimizing the system parameters, their performance may be maintained at best level under earthquakes. In this study, optimization of parameters nonline...

This paper focuses on the optimal power flow solution and the enhancement of the performance of a power system network. The paper presents a secured optimal power flow solution by integrating Thyristor controlled series compensator (TCSC) with the optimization model developed under overload condition. The Teaching Learning Based Optimization (TLBO) has been implemented here. Recently, the oppos...

In this paper an Enhanced Teaching-Learning Based Optimization (ETLBO) algorithm is employed to design stable digital infinite impulse response (IIR) filter using Lp-norm error criterion. The original TLBO algorithm has been remodeled by merging the concept of opposition-based learning and migration for selection of good candidates and to maintain the diversity, respectively. The multiobjective...