Abstract: The Travelling Salesman Problem (TSP) is a well known method for the optimisation problem that asks you to find the shortest route that visits each city in a set exactly once and then goes ...

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.

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Why presidents stumble in this most ...

Abstract: The Rubik’s Cube represents a canonical combinatorial search problem with an enormous discrete state space, making it a compelling testbed for evaluating algorithmic performance in ...

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 ...

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 ...