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Deep Ensemble of Slime Mold Algorithm and Arithmetic Optimization Algorithm for Global Optimization [PDF]

open access: yesProcesses, 2021
In this paper, a new hybrid algorithm based on two meta-heuristic algorithms is presented to improve the optimization capability of original algorithms. This hybrid algorithm is realized by the deep ensemble of two new proposed meta-heuristic methods, i.e., slime mold algorithm (SMA) and arithmetic optimization algorithm (AOA), called DESMAOA.
Rong Zheng   +2 more
exaly   +2 more sources
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Efficiency of the slime mold algorithm for damage detection of large‐scale structures

The Structural Design of Tall and Special Buildings, 2022
SummaryOptimization‐based methods are increasingly being implemented for structural damage detection problems through the minimization of the objective functions based on vibration data. The adopted optimization algorithm and objective function play an important role in the accurate detection and quantification of damages.
Parsa Ghannadi, Seyed Sina Kourehli
openaire   +1 more source

Optimum design of a composite drone component using slime mold algorithm

Materials Testing, 2023
Abstract Composite materials have a wide range of applications in many industries due to their manufacturability, high strength values, and light filling. The sector where composite materials are mostly used is the aviation industry. Today, as a result of the development of aviation systems, drones have started to be actively used, and ...
Ylldlz, BETÜL SULTAN   +2 more
openaire   +2 more sources

A Navigation Algorithm for Swarm Robotics Inspired by Slime Mold Aggregation

2007
This article presents a novel bio-inspired navigation principle for swarm robotics that is based on a technique of signal propagation that was inspired by slime mold. We evaluated this strategy in a variety of simulation experiments that simulates a collective cleaning scenario.
Thomas Schmickl, Karl Crailsheim
openaire   +1 more source

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