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Slime Mould Algorithm for Solving Ambulance Dispatching Problem
2023Rapid emergency medical service (EMS) response plays a very important role since some decisions highly impact the health of patients in critical times such as natural disasters and pandemics. In this paper, a metaheuristic approach called Slime Mould Algorithm (SMA) has been proposed to improve the response time for the ambulance dispatching problem ...
Khelfa C. +5 more
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The Improved Slime Mould Algorithm with Piecewice Map
2020 International Symposium on Computer Engineering and Intelligent Communications (ISCEIC), 2020In this paper, we proposed an improved slime mould algorithm (SMA) with piecewise map. Simulation experiments were carried out with three types of benchmark functions, unimodal, multi-modal benchmark functions and those who have valleys in their three dimensional profiles.
Juan ZHAO, Zheng-Ming GAO, Bao-Lian Jia
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Chaotic slime mould optimization algorithm for global optimization
Artificial Intelligence Review, 2021Metaheuristic optimization methods; It is a well-known global optimization approach for large-scale search and optimization problems, commonly used to find the solution many different optimization problems. Slime mould optimization algorithm (SMA) is a recently presented metaheuristic technique that is inspired by the behavior of slime mould.
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The improved slime mould algorithm with exponential functions
2020 International Symposium on Computer Engineering and Intelligent Communications (ISCEIC), 2020Applying the Slime Mould Algorithm (SMA) in optimization and coding it with Python programming language, we found that runtime warnings occurred because of the inherent limits of arctanh functions. Considering the circumstances that the maximum residual errors would be constrained and the maximum allowed iteration number would be bothering, we ...
Zheng-Ming GAO +5 more
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Slime Mould and Fungal Foraging Algorithms
2018In this chapter we provide a brief introduction to some of the foraging behaviours of slime moulds and mycelial fungi. Growth in each organism is indeterminate, as their precise morphology is crucially determined by environmental influences, including resource distribution. We also describe a number of algorithms which have drawn inspiration from these
Anthony Brabazon, Seán McGarraghy
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An Enhanced Slime Mould Algorithm for Function optimization
2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), 2021This study focuses on enhancement of one of the recently published metaheuristic algorithms known as slime mould algorithm (SMA). The slime mould algorithm has been shown to be a good competitive approach in the field of metaheuristics, however, it still suffers from poor exploitative behaviour, thus, suffers from slow convergence and lacks providing ...
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The hybridized slime mould and particle swarm optimization algorithms
2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE), 2020Literal researches have proved that most of the algorithms are not capable to solve the problems whose solutions are not locating at the Origin. Due to the large ratio for individuals to maintain their historical trajectories in swarms of the slimed mould (SM), the SM algorithms would perform even worse.
Zhengming Gao, Juan Zhao, Suruo Li
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Node localization in WSN using the slime mould algorithm
2023 6th International Conference on Signal Processing and Information Security (ICSPIS), 2023Badis Lekouaghet +3 more
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A novel improved slime mould algorithm for engineering design
Soft Computing, 2023Jingsen Liu +3 more
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