today, with rapid growth of the world wide web and creation of internet sites and online text resources, text summarization issue is highly attended by various researchers. extractive-based text summarization is an important summarization method which is included of selecting the top representative sentences from the input document. when, we are facing into large data volume documents, the extr...

this paper presents a strategy for using harmony search algorithm in facility layout optimization problems. in this paper an adapted harmony search algorithm is developed for solving facility layout optimization problems. this method finds an optimal facility arrangement in an existing layout. two real-world case studies are employed to demonstrate the efficiency of this model. a comparison is ...

the cuckoo search algorithm is a recently developedmeta-heuristic optimization algorithm, which is suitable forsolving optimization problems. to enhance the accuracy andconvergence rate of this algorithm, an improved cuckoo searchalgorithm is proposed in this paper. normally, the parametersof the cuckoo search are kept constant. this may lead todecreasing the efficiency of the algorithm. to cop...

This document presents a master–slave methodology for solving the problem of optimal operation photovoltaic (PV) distributed generators (DGs) in direct current (DC) networks. was modeled using nonlinear programming model (NLP) that considers minimization three different objective functions daily system. The first one corresponds to total operational cost system, including energy purchasing conv...

The problem of the electrical characterization single-phase transformers is addressed in this research through application crow search algorithm (CSA). A nonlinear programming model to determine series and parallel impedances transformer formulated using mean square error (MSE) between voltages currents measured calculated as objective function. CSA selected a solution technique since it effici...

This article introduces a novel nature-inspired algorithm called the Plum Tree Algorithm (PTA), which has biology of plum trees as its main source inspiration. The PTA was tested and validated using 24 benchmark objective functions, it further applied compared to following selection representative state-of-the-art, algorithms: Chicken Swarm Optimization (CSO) algorithm, Particle (PSO) Grey Wolf...

Abstract Healthcare organizations and Health Monitoring Systems generate large volumes of complex data, which offer the opportunity for innovative investigations in medical decision making. In this paper, we propose a beetle swarm optimization adaptive neuro-fuzzy inference system (BSO-ANFIS) model heart disease multi-disease diagnosis. The main components our analytics pipeline are modified cr...

This study presents a master–slave methodology to solve the problem of optimally locating and sizing photovoltaic (PV) generation units in electrical networks. is represented by means Mixed-Integer Nonlinear Programming (MINLP) model, whose objective function reduce total annual operating costs network for 20-year planning period. Such include (i) purchasing energy at conventional generators (t...

Self-Potential (SP) is a geophysical survey method that relatively easy and inexpensive. Interpretation of SP data can be used for various purposes such as the detection landslide-prone areas, exploration types minerals, identification parameters fault or crack. In this study, acquisition was carried out in Tambakrejo Village, Pacitan District with total 102 measurement which aims to determine ...

the mathematical modeling of fracture networks is critical for the exploration and development ofnatural resources. fractures can help the production of petroleum, water, and geothermal energy. theyalso greatly influence the drainage and production of methane gas from coal beds. orientation andspatial distribution of fractures in rocks are important factors in controlling fluid flow. the object...