Results 81 to 90 of about 6,723 (242)
IEEE Access, 2019 Grey wolf optimizer (GWO) is a very efficient metaheuristic inspired by the hierarchy of the Canis lupus wolves. It has been extensively employed to a variety of practical applications.
Sankalap Arora +4 more
doaj +1 more source
Review on Swarm Intelligence Optimization Techniques for Obstacle-Avoidance Localization in Wireless Sensor Networks [PDF]
, 2018 Wireless sensor network (WSN) is an evolving research topic with potential applications. In WSN, the nodes are spatially distributed and determining the path of transmission high challenging.
Harriet, Puvitha, Saravanan, Palani
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Alternative method for economic dispatch utilizing grey wolf optimizer [PDF]
, 2015 Power system is one of the largest and most complex engineering systems created by human. The systems are created in order to ensure the longevity and sustainability of the energy for civilization development.
Wong, Lo Ing
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Adaptive Grey Wolf Optimization Technique for Stock Index Price Prediction on Recurring Neural Network Variants [PDF]
, 2023 In this paper, we propose a Long short-term memory (LSTM) and Adaptive Grey Wolf Optimization (GWO)--based hybrid model for predicting the stock prices of the Major Indian stock indices, i.e., Sensex.
Gupta, Priyank +2 more
core +1 more source
Engineering Reports, Volume 8, Issue 4, April 2026.Rat swarm position update mechanism in HRSA‐RSO, illustrating the collective exploration behavior around the prey target (A*, B*). ABSTRACT The permutation flow shop scheduling problem (PFSSP) is a classical NP‐hard problem that aims to determine an optimal job sequence across machines to minimize makespan.
Mourad Mzili +5 more
wiley +1 more source
Energy commitment: a planning of energy carrier based on energy сonsumption [PDF]
, 2019 Purpose. Energy consumption is one of the criteria for determining the quality of life in a country. Continued supply of energy and the possibility of long-term access to resources require a comprehensive plan.
Dehghani, M., Malik, O.P., Montazeri, Z.
core +4 more sources
Energy Science &Engineering, Volume 14, Issue 4, Page 1749-1764, April 2026.Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi +3 more
wiley +1 more source
An Intelligent Grey Wolf Optimizer Algorithm for Distributed Compressed Sensing [PDF]
, 2018 Distributed Compressed Sensing (DCS) is an important research area of compressed sensing (CS). This paper aims at solving the Distributed Compressed Sensing (DCS) problem based on mixed support model. In solving this problem, the previous proposed greedy
Gang Hua +3 more
core +2 more sources
Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 297-315, April 2026.ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu +4 more
wiley +1 more source
LTE NETWORKS BTS LOCATION OPTIMATION WITH MODIFIED GREY WOLF OPTIMIZER [PDF]
, 2017 Base station is the main network element in cellular networks deployment include LTE that nowadays widely used for data communication (e.g. internet access).
MIRA KOMALA DEWI
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