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 …

Because of its peculiar biology and the ease with which it can be cultured, the acellular
slime mould Physarum polycephalum has long been a model organism in a range of …

Even for humans it is not easy to solve a maze. But the plasmodium of true slime mold, an
amoeba-like unicellular organism, has shown an amazing ability to do so. This implies that …

Recently, a novel virus called COVID-19 has pervasive worldwide, starting from China and
moving to all the world to eliminate a lot of persons. Many attempts have been experimented …

Transport networks are ubiquitous in both social and biological systems. Robust network
performance involves a complex trade-off involving cost, transport efficiency, and fault …

The plasmodium of the slime mould Physarum polycephalum is a large amoeba-like cell
consisting of a dendritic network of tube-like structures (pseudopodia). It changes its shape …

We describe here a mathematical model of the adaptive dynamics of a transport network of
the true slime mold Physarum polycephalum, an amoeboid organism that exhibits path …

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 …

We have studied how the plasmodium of Physarum polycephalum, a large amoeboid cell, is
able to track the shortest path between two selected points in a labyrinth. When nutrients are …

To evaluate performance in a complex survival task, we studied the morphology of the
Physarum plasmodium transportation network when presented with multiple separate food …