MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...

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.

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

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 ...

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 ...

Identified and explained in detail the gaps and possible future works for improvement in two popular research papers that used heuristic and meta-heuristic algorithms to solve multi-objective vehicle ...

In a victory for human intellect, developer Przemysław Dębiak has defeated an AI in a gruelling coding battle. The event, the AtCoder World Tour Finals 2025 Heuristic Contest held in Tokyo, pitted ...

Abstract: Path planning in three-dimensional space is an important field of machine learning algorithm research. At present, there are many path planning algorithms, such as heuristic search algorithm ...