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 ...

Google's March Core Update continues to roll out across search results. Reports are coming in based on data collected over the first week of the rollout. Note that these patterns could change by the ...

SHENZHEN, China, March 14, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that their research and development team ...

So after Google literally paid Reddit for its content and then ranked them incredibly well in Google Search and its search features, Reddit during its earnings call blamed Google's search algorithm ...

Heuristic designing is a practical and indispensable tool leveraged in standard fields like artificial intelligence and operations research to find satisfactory solutions to complex optimisation ...

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 ...