نتایج جستجو برای: gray wolf optimization algorithm
تعداد نتایج: 1007332 فیلتر نتایج به سال:
Green manufacturing has become a new production mode for the development and operation of modern future industries. The flexible job shop scheduling problem (FJSP), as one key core problems in field green process planning, hot topic difficult issue research. In this paper, an improved multi-objective wolf pack algorithm (MOWPA) is proposed solving with transportation constraints. Firstly, model...
Excessive penetration of renewable energy resources into the distribution grid without additional preventive measures has led to several operational problems. However, most strategies developed accommodate more units suffered from other Therefore, further efforts are needed address key vulnerabilities in addition maximizing hosting capacity. In this regard, study is devoted a new multi-objectiv...
Nature is the immense gifted source for solving complex problems. It always helps to find the optimal solution to solve the problem. Mobile Ad Hoc NETwork (MANET) is a wide research area of networks which has set of independent nodes. The characteristics involved in MANET’s are Dynamic, does not depend on any fixed infrastructure or centralized networks, High mobility. The Bio-Inspired algorith...
This paper presents a particle swarm optimization (PSO) based approach for multiple object tracking based on histogram matching. To start with, gray-level histograms are calculated to establish a feature model for each of the target object. The difference between the gray-level histogram corresponding to each particle in the search space and the target object is used as the fitness value. Multi...
Energy-saving scheduling is a well-known issue in the manufacturing system. The flexibility of workshop increases difficulty scheduling. In schedule, considering collaborative optimization multi-level structure product production and energy consumption has certain practical significance. process sequence parts components should be consistent with assembly sequence. Additionally, non-production ...
Breast cancer is one of the common reasons for deaths women over globe. It has been found that a Computer-Aided Diagnosis (CAD) system can be designed using X-ray mammograms early-stage detection breast cancer, which decrease death rate to large extent. This paper work proposes novel 2-way threshold-based intelligent water drops IWD “algorithm feature selection design an effective and efficient...
Induction motors are so important in industry, so their protection and maintenance seem a vital issue. Continuous control of structural parameter of such motors is the way that can protect them. Appearance of a small problem in motor can change the value of structural parameter of squirrel cage induction motor, such as; resistances of stator and rotor, inductances of stator an...
Hybridization of two or more variants algorithms is the recent trend research field. With help a hybridized algorithm we try to find out better optimal solution and solve various optimization applications. In this paper, new approach Advancement on Grey Wolf Optimization with Fitness Based Self Adaptive Differential Evolution (AGWO-FSADE) proposed. populations are calculated using self adaptive...
Best-effort service model of traditional routing is gradually hard to meet the personalized demands under rapid development network technologies (e.g. 5G and IPv6). Therefore, customization should be considered. In this work, a customized mechanism based on deep learning in IPv6 proposed, which includes learning-based module, reliability evaluation calculation module. The first module uses neur...
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