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Slime mould algorithm: A new method for stochastic optimization

open access: yesFuture Generation Computer Systems, 2020
Abstract In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based on the oscillation mode of slime mould in nature. The proposed SMA has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the ...
Huiling Chen   +2 more
exaly   +3 more sources
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Boosting quantum rotation gate embedded slime mould algorithm

Expert Systems With Applications, 2021
Abstract The slime mould algorithm is an interesting swarm-based algorithm proposed in 2020 based on this entity's trajectory finding abilities in nature. It simulates slime mould movement, foraging, and other behaviors to find the problem's optimal solution. Because of the complexity of the slime mould's trajectory, the SMA has strong randomness and
Ali Asghar Heidari   +2 more
exaly   +2 more sources

Development and application of slime mould algorithm for optimal economic emission dispatch

Expert Systems With Applications, 2021
Abstract In this paper, an Improved version of the Slime Mould Algorithm (ISMA) is proposed and applied to efficiently solve the single-and bi-objective Economic and Emission Dispatch (EED) problems considering valve point effect. ISMA is developed to improve the performance of the conventional Slime Mould Algorithm (SMA).
Mohamed H Hassan   +2 more
exaly   +3 more sources

A novel version of slime mould algorithm for global optimization and real world engineering problems. Enhanced slime mould algorithm

Math. Comput. Simul., 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bulent Nafi Örnek   +3 more
openaire   +1 more source

Modified Slime Mould Algorithm via Levy Flight

2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2020
The 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
openaire   +3 more sources

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