A high-performance Python library for solving the Traveling Salesman Problem (TSP) using novel heuristics. Sometimes outperforms classical methods by **15–30%** on real and clustered data by using ...

Various corners of the media and internet are hyperventilating over the alleged genetic privacy implications of the imminent Chapter 11 bankruptcy of the direct-to-consumer genetic testing company ...

This paper introduces an optimized planning approach for integrating photovoltaic as distributed generation (PV-DG) into the radial distribution power systems, utilizing exhaustive load flow (ELF), ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

The Njord Centre, Department of Physics, University of Oslo, Sem Sælands vei 24, NO-0316 Oslo, Norway ...

Abstract: To address the Traveling Salesman Problem (TSP), through research, it has been found that genetic algorithms exhibit promising effectiveness in solving the TSP. Therefore, this paper adopts ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present an artificial intelligence-guided approach to design durable and chemically ...

ABSTRACT: The economic dispatch problem in power systems is a classic issue in the field of power systems. This paper first uses the traditional genetic algorithm to solve the economic dispatch ...