نتایج جستجو برای: objective grey wolf optimizer mogwo
تعداد نتایج: 589868 فیلتر نتایج به سال:
Artificial Neural Networks (ANNs) are utilized to solve a variety of problems in many domains. In this type network, training and selecting parameters that define networks architecture play an important role enhancing the accuracy network's output; Therefore, Prior training, those must be optimized. Grey Wolf Optimizer (GWO) has been considered one efficient developed approaches Swarm Intellige...
Grey wolf optimizer (GWO) is a new technique, which can be applied successfully for solving optimized problems. The GWO indeed simulates the leadership hierarchy and hunting mechanism of grey wolves. There are four types of grey wolves which are alpha, beta, delta and omega. Those four types can be used for simulating the leadership hierarchy. In order to complete the process of GWO a three mai...
Evolutionary Population Dynamics (EPD) refers to eliminating poor individuals in nature, which is the opposite of survival fittest. Although this method can improve median whole population meta-heuristic algorithms, it suffers from exploration capability handle high-dimensional problems. This paper proposes a novel EPD operator search process. In other words, as primary mainly improves fitness ...
Feature selection in Arabic text is a challenging task due to the complex and rich nature of Arabic. The feature requires solution quality, stability, conver- gence speed, ability find global optimal. This study proposes method using Hybrid Binary Gray Wolf Optimizer (HBGWO) for Ara- bic classification. HBGWO combines local search capabilities or exploratory BGWO around best solutions exploits ...
Oil spill detection (OSD) in marine areas is an application of synthetic aperture radar (SAR) images to protect aquatic life. In this paper, a new oil algorithm based on level set method (LSM) presented. Dark spot detection, feature extraction, and classification are the main steps proposed method. first step, dark SAR presented, which introduces combination multi-objective grey wolf optimizati...
The insurance industry is based on risk calculations, high profits, and detailed information. predictive models that companies utilize allow to make accurate decisions about the sector. This research focuses improving accuracy of predicting customers Property Casualty (P&C) insurance. In this study, a reliable quantitative analytical big data method has been developed, Hybrid Grey Wolf Whal...
Energy efficiency, which consists of using less energy or improve service level to energy consumers. But its increasing pressure on the energy sector to control greenhouse gases forced the engineers to consider the emission problem as a consequential matter besides the economic problems. This paper presents a modified Multi-Objective Optimization algorithm inspired by hunting behavior of Grey W...
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