نتایج جستجو برای: frog leaping algorithm
تعداد نتایج: 766789 فیلتر نتایج به سال:
Economic dispatch (ED) is one of the most important issues in power system operation. The main objective of ED is to determine each power plant generation in order to minimize the total operation cost while satisfying demand and generation constraints. In recent years, due to increasing environmental concerns and regarding to the role of pollution produced by fossil-fuelled power plants, enviro...
Abstract Distributed hybrid flow shop scheduling problem (DHFSP) has attracted some attention; however, DHFSP with uncertainty and energy-related element is seldom studied. In this paper, distributed energy-efficient (DEHFSP) fuzzy processing time considered a cooperated shuffled frog-leaping algorithm (CSFLA) presented to optimize makespan, total agreement index energy consumption simultaneous...
Shaping advanced materials such as superalloys and metal matrix composites is still a herculean task for the engineering fraternity. People are developing innovative manufacturing processes (MPs) to shape kind of materials. Electrical arc machining (EAM) one subtractive MP which under development stage. The present paper discusses newly developed process named vibration assisted EAM (VEAM). on ...
An Innovative Metaheuristic Strategy for Solar Energy Management through a Neural Networks Framework
Proper management of solar energy as an effective renewable source is high importance toward sustainable harvesting. This paper offers a novel sophisticated method for predicting irradiance (SIr) from environmental conditions. To this end, efficient metaheuristic technique, namely electromagnetic field optimization (EFO), employed optimizing neural network. algorithm quickly mines publicly avai...
Image saliency detection is an important research topic in the field of computer vision. With traditional models, texture details are not obvious and edge contour complete. The accuracy recall rate object low, which mostly based on manual features prior information. rise deep convolutional neural networks, has been rapidly developed. However, existing methods still have some common shortcomings...
This paper presents a new and efficient approach for capacitor placement in radial distribution systems that determine the optimal locations and size of capacitor with an objective of improving the voltage profile and reduction of power loss. The solution methodology has two parts: in part one the loss sensitivity factors are used to select the candidate locations for the capacitor placement an...
Energy is one of the most fundamental elements today’s economy. It becoming more important day by with technological developments. In order to plan energy policies countries and prevent climate change crisis, CO2 emissions must be under control. For this reason, estimation has become an factor for researchers scientists. study, a new hybrid method was developed using optimization methods. The S...
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