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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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Modified Slime Mould Algorithm via Levy Flight
2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2020The slime mould algorithm (SMA) is a recently developed meta-heuristic optimization algorithm which is based on the oscillation mode of slime mould in nature. However, the SMA is often trapped in local optima for global continuous optimization problems.
Zhesen Cui +4 more
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Comput. Biol. Medicine, 2021
Image segmentation is an essential pre-processing step and is an indispensable part of image analysis. This paper proposes Renyi's entropy multi-threshold image segmentation based on an improved Slime Mould Algorithm (DASMA).
Song-Wei Zhao +6 more
semanticscholar +1 more source
Image segmentation is an essential pre-processing step and is an indispensable part of image analysis. This paper proposes Renyi's entropy multi-threshold image segmentation based on an improved Slime Mould Algorithm (DASMA).
Song-Wei Zhao +6 more
semanticscholar +1 more source
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 ...
Davut Izci
exaly +2 more sources
International Journal of Systems Science, 2021
This paper presents a novel application of the metaheuristic Slime Mould Algorithm (SMA) to the optimal tuning of interval type-2 fuzzy controllers. Inserting the information feedback model F1 in SMA leads to a new version of the metaheuristic algorithm,
Radu-Emil Precup +4 more
semanticscholar +1 more source
This paper presents a novel application of the metaheuristic Slime Mould Algorithm (SMA) to the optimal tuning of interval type-2 fuzzy controllers. Inserting the information feedback model F1 in SMA leads to a new version of the metaheuristic algorithm,
Radu-Emil Precup +4 more
semanticscholar +1 more source
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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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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Engineering Research Express
To enhance technical support for monitoring the condition and managing the overall health of marine diesel engines, this study introduces a baseline model for marine diesel engine exhaust gas temperature (EGT).
Wen-Tao Kuang +4 more
semanticscholar +1 more source
To enhance technical support for monitoring the condition and managing the overall health of marine diesel engines, this study introduces a baseline model for marine diesel engine exhaust gas temperature (EGT).
Wen-Tao Kuang +4 more
semanticscholar +1 more source
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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