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Global-best brain storm optimization algorithm based on chaotic difference step and opposition-based learning [PDF]
Scientific ReportsRecently, the following global-best strategy and discussion mechanism have been prevailing to solve the slow convergence and the low optimization accuracy in the brain storm optimization (BSO) algorithm.
Yanchi Zhao +3 more
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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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Applied Sciences, 2022 Industrial control systems (ICS) are facing increasing cybersecurity issues, leading to enormous threats and risks to numerous industrial infrastructures. In order to resist such threats and risks, it is particularly important to scientifically construct
Yiqun Yue +3 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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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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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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Algorithms, 2022 The slime mold algorithm (SMA) is a swarm-based metaheuristic algorithm inspired by the natural oscillatory patterns of slime molds. Compared with other algorithms, the SMA is competitive but still suffers from unbalanced development and exploration and ...
Yunyang Zhang, Shiyu Du, Quan Zhang
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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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Application of opposition-based learning concepts in reducing the power consumption in wireless access networks [PDF]
, 2016 The reduction of power consumption in wireless access networks is a challenging and important issue. In this paper, we apply Opposition-Based Learning (OBL) concepts for reducing the power consumption of LTE base stations. More specifically, we present a
Goudos, Sotirios K +4 more
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