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Advances in Slime Mould Algorithm: A Comprehensive Survey [PDF]
BiomimeticsThe slime mould algorithm (SMA) is a new swarm intelligence algorithm inspired by the oscillatory behavior of slime moulds during foraging. Numerous researchers have widely applied the SMA and its variants in various domains in the field and proved its ...
Yuanfei Wei +4 more
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FP-SMA: an adaptive, fluctuant population strategy for slime mould algorithm [PDF]
Neural Computing and Applications, 2022 In this paper, an adaptive Fluctuant Population size Slime Mould Algorithm (FP-SMA) is proposed. Unlike the original SMA where population size is fixed in every epoch, FP-SMA will adaptively change population size in order to effectively balance exploitation and exploration characteristics of SMA's different phases.
Mohammad Gh Alfailakawi, Imtiaz Ahmad
exaly +3 more sources
Journal of Water Reuse and Desalination, 2023 One way to improve the infrastructure, operations, monitoring, maintenance, and management of wastewater treatment systems is to use machine learning modelling to make smart forecasting, tracking, and failure prediction systems.
Jyoti Chauhan +6 more
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Application of metaheuristic optimization algorithms for image registration in mobile robot visual control [PDF]
Serbian Journal of Electrical Engineering, 2021 Visual Servoing (VS) of a mobile robot requires advanced digital image processing, and one of the techniques especially fitting for this complex task is Image Registration (IR). In general, IR involves the geometrical alignment of images, and it
Đokić Lazar +4 more
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Parameter identification of thermoelectric modules using enhanced slime mould algorithm (ESMA) [PDF]
Results in EngineeringThis paper sets pioneering research which investigates the parametric identification of thermoelectric modules (TEMs) through the employment of enhanced slime mould algorithm (ESMA).
Dharswini Ponnalagu +2 more
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Implementation of Chaotic Reverse Slime Mould Algorithm Based on the Dandelion Optimizer [PDF]
Biomimetics, 2023 This paper presents a hybrid algorithm based on the slime mould algorithm (SMA) and the mixed dandelion optimizer. The hybrid algorithm improves the convergence speed and prevents the algorithm from falling into the local optimal.
Yi Zhang, Yang Liu, Yue Zhao, Xu Wang
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Improved Slime-Mould-Algorithm with Fitness Distance Balance-based Guiding Mechanism for Global Optimization Problems [PDF]
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2021 In this study, the performance of Slime-Mould-Algorithm (SMA), a current Meta-Heuristic Search algorithm, is improved. In order to model the search process lifecycle process more effectively in the SMA algorithm, the solution candidates guiding the ...
Çağrı Suiçmez +4 more
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MOSMA: Multi-Objective Slime Mould Algorithm Based on Elitist Non-Dominated Sorting
IEEE Access, 2021 This paper proposes a multi-objective Slime Mould Algorithm (MOSMA), a multi-objective variant of the recently-developed Slime Mould Algorithm (SMA) for handling the multi-objective optimization problems in industries. Recently, for handling optimization
Manoharan Premkumar +5 more
doaj +3 more sources
IEEE Access, 2022 Slime Mould Algorithm (SMA) is a new meta-heuristics algorithm that is inspired by the behaviors of slime mould from nature. Due to its effective performance, SMA has shown its competitive performance among other meta-heuristics algorithms and has been ...
Hui Chen +4 more
doaj +3 more sources
Advanced slime mould algorithm incorporating differential evolution and Powell mechanism for engineering design [PDF]
iScience, 2023 Summary: The slime mould algorithm (SMA) is a population-based swarm intelligence optimization algorithm that simulates the oscillatory foraging behavior of slime moulds. To overcome its drawbacks of slow convergence speed and premature convergence, this
Xinru Li +7 more
doaj +2 more sources