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 …

Meta-heuristic algorithms have a high position among academic researchers in various
fields, such as science and engineering, in solving optimization problems. These algorithms …

Abstract Slime Mould Algorithm (SMA) is a recently introduced meta-heuristic stochastic
method, which simulates the bio-oscillator of slime mould. In this paper, an improved variant …

Slime mould algorithm (SMA) is a population‐based metaheuristic algorithm inspired by the
phenomenon of slime mould oscillation. The SMA is competitive compared to other …

Slime mould algorithm (SMA) is a novel metaheuristic that simulates foraging behavior of
slime mould. Regarding its drawbacks and properties, a hybrid optimization (BTβSMA) …

The slime mould algorithm (SMA) is a metaheuristic algorithm recently proposed, which is
inspired by the oscillations of slime mould. Similar to other algorithms, SMA also has some …

Abstract The Slime Mould Algorithm (SMA) is a recent metaheuristic inspired by the
oscillation of slime mould. Similar to other original metaheuristic algorithms (MAs), SMA may …

Metaheuristic 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 …

Slime Mould Algorithm (SMA) has recently received much attention from researchers
because of its simple structure, excellent optimisation capabilities, and acceptable …

The slime mould algorithm (SMA) is a logical swarm-based stochastic optimizer that is easy
to understand and has a strong optimization capability. However, the SMA is not suitable for …