Abstract To address the conflict issues among structural mass, maximum deformation, and equivalent stress in traditional lightweight design of aircraft structures, and to improve optimization ...

This paper proposes a Random Forest grid fault prediction model based on Genetic Algorithm optimization (GA-RF) to classify the grid fault types, which improves the distribution network fault ...

MATLAB-based optimization framework for nanophotonic structures using multi-objective genetic algorithms integrated with Lumerical FDTD. Automatically tunes geometry to minimize propagation loss and ...

Roeva, O., Fidanova, S. and Paprzycki, M. (2013) Influence of the Population Size on The Genetic Algorithm Performance in Case of Cultivation Process Modelling. Recent Advances in Computational ...

uMCGA (universal Monte Carlo Genetic Algorithm) Solve optimization problems with the MCGA algorithm [1]. The present algorithm is desribed in [2]. uMCGA allows for optimization of problems where ...

This paper introduces the theory of genetic algorithm. The specific operation flow of genetic algorithm is described. The application of genetic algorithm in function optimization has been achieved by ...

Due to low accuracy of genetic algorithm and slow speed of ant algorithm for solving the problem, a hybrid algorithm based on genetic algorithm and ant algorithm is promoted and its MATLAB ...