Results 21 to 30 of about 550,063 (331)
Zebra optimization algorithm incorporating opposition-based learning and dynamic elite-pooling strategies and its applications. [PDF]
PLoS OneMa T, Lu G, Qin Z, Guo T, Li Z, Zhao C.
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Alexandria Engineering JournalDue to energy depletion, Photovoltaic (PV) power has received much attention as the leading renewable solar power generation mode. How to accurately recognize PV system parameters to improve generation efficiency has become a hotspot in the field of ...
Xuming Wang, Wen Zhang
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Alexandria Engineering Journal, 2023 A recently developed swarm-based meta-heuristic algorithm namely Grey Wolf Optimization algorithm (GWO), which is based on the hunting and leadership behaviours of the grey wolves in nature, has shown superior performance when compared with existing meta-
Vanisree Chandran, Prabhujit Mohapatra
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A Modified Equilibrium Optimizer Using Opposition-Based Learning and Teaching-Learning Strategy
IEEE Access, 2022 Equilibrium Optimizer (EO) is a newly developed intelligent optimization algorithm inspired by control volume mass balance models. EO has been proven to have an excellent solution effect on some optimization problems, with the advantages of ease of ...
Xuefeng Wang +3 more
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Mathematics, 2022 Brain storm optimization algorithm (BSO) is a popular swarm intelligence algorithm. A significant part of BSO is to divide the population into different clusters with the clustering strategy, and the blind disturbance operator is used to generate ...
Wei Li +4 more
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An Adaptive Opposition-Based Learning Selection: The Case for Jaya Algorithm
IEEE Access, 2021 Over the years, opposition-based Learning (OBL) technique has been proven to effectively enhance the convergence of meta-heuristic algorithms. The fact that OBL is able to give alternative candidate solutions in one or more opposite directions ensures ...
Abdullah B. Nasser +5 more
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Dynamic opposite learning enhanced teaching–learning-based optimization
Knowledge-Based Systems, 2020 Abstract The teaching–learning-based optimization (TLBO) algorithm has been one of most popular bio-inspired meta-heuristic algorithms due to the competitive converging speed and high accuracy. A batch of TLBO variants has been proposed to enhance the exploitation ability and accelerate the exploration process.
Yunlang Xu +4 more
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Improved Sparrow Algorithm Combining Cauchy Mutation and Opposition-Based Learning
Jisuanji kexue yu tansuo, 2021 Aiming at the problem that the population diversity of basic sparrow search algorithm decreases and it is easy to fall into local extremum in the late iteration, an improved sparrow search algorithm combining Cauchy variation and reverse learning (ISSA ...
MAO Qinghua, ZHANG Qiang
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SACOC: A spectral-based ACO clustering algorithm [PDF]
, 2014 The application of ACO-based algorithms in data mining is growing over the last few years and several supervised and unsupervised learning algorithms have been developed using this bio-inspired approach. Most recent works concerning unsupervised learning
A.P. Dempster +8 more
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Opposition-based Memetic Search for the Maximum Diversity Problem [PDF]
, 2017 As a usual model for a variety of practical applications, the maximum diversity problem (MDP) is computational challenging. In this paper, we present an opposition-based memetic algorithm (OBMA) for solving MDP, which integrates the concept of opposition-
B. Duval, J.K. Hao, Y. Zhou
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