Abstract: In this paper, we present an efficient algorithm for cluster analysis, which is based on gravitational search and a heuristic search algorithm. In the proposed algorithm, called GSA-HS, the ...

With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has become crucial for enhancing mission success rates.

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

This project aimed to implement three well-known meta-heuristic algorithms: cuckoo search (CS), bat algorithm (BA), and flower pollination algorithm (FPA). We found that three algorithms could have a ...

When Google launched the March 2025 core update last week, Google said there will be a series of improvements aimed to help “better surface relevant, satisfying content” from content creators ...

As alternative heuristic techniques; genetic algorithm, simulated annealing algorithm and city swap algorithm are implemented in Python for Travelling Salesman Problem. Details on implementation and ...

Besides, as all modeling heavily depends on volume and accuracy of measured data from a data sheet, it is of great significance to undertake reasonable optimization on data samples rather than only ...