Memetic Algorithm for Energy Optimization in Point-to-Point Robotized Operations

Sandi Baressi Šegota

doi:10.3390/machines14010035

Memetic Algorithm for Energy Optimization in Point-to-Point Robotized Operations

2025-12-25

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Sandi Baressi Šegota *

DOI：10.3390/machines14010035

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This paper presents a memetic algorithm (MA) for energy cost estimation of a robot path. The developed algorithm uses a random recombination genetic algorithm (GA) as the basis for the first stage of the algorithm and performs a local search based on feature importances determined from the data in the second stage. To allow for the faster determination of the solution quality, the algorithm uses an ML-driven fitness function, based on MLP, for the determination of path energy. The performed tests show that not only does the GA itself optimize the point-to-point paths well, but the usage of MA can lower the energy use by 58% on average (N = 100) when compared to a linear path between the same two points.

Keywords:

energy optimization

industrial robots

memetic algorithm

Memetic Algorithm for Energy Optimization in Point-to-Point Robotized Operations

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