AIMC Topic: Physarum polycephalum
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Utilizing artificial intelligence to solving time - cost - quality trade-off problem.
Scientific reports
Nov 22, 2022
This study presents the Slime Mold Algorithm (SMA) to solve the time-cost-quality trade-off problem in a construction project. The proposed SMA is a flexible and efficient algorithm in exploration and exploitation to reach the best optimal solution t...
An equilibrium optimizer slime mould algorithm for inverse kinematics of the 7-DOF robotic manipulator.
Scientific reports
Jun 8, 2022
In order to solve the inverse kinematics (IK) of complex manipulators efficiently, a hybrid equilibrium optimizer slime mould algorithm (EOSMA) is proposed. Firstly, the concentration update operator of the equilibrium optimizer is used to guide the ...
Complex population dynamics in a spatial microbial ecosystem with Physarum polycephalum.
Bio Systems
Jul 14, 2021
This research addresses the interactions between the unicellular slime mold Physarum polycephalum and a red yeast in a spatial ecosystem over week-long imaging experiments. An inverse relationship between the growth rates of both species is shown, wh...
Living systems are smarter bots: Slime mold semiosis versus AI symbol manipulation.
Bio Systems
Apr 20, 2021
Although machines may be good at mimicking, they are not currently able, as organisms are, to act creatively. We offer an understanding of the emergent qualities of biological sign processing in terms of generalization, association, and encryption. W...
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