The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

A C++ implementation of algorithms to solve the Traveling Salesman Problem (TSP) using Backtracking Search and Triangular Approximation Heuristic, developed for the Algorithm Design course at FEUP.

Posts from this topic will be added to your daily email digest and your homepage feed. It’s also making changes to its recommendation system that could serve up more link-based posts. It’s also making ...

Join order optimization is among the most crucial query optimization problems, and its central position is also evident in the new research field where quantum computing is applied to database ...

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 ...

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 ...

Abstract: In applied and numerical algebraic geometry, many problems are reduced to computing an approximation to a real algebraic curve. In order to elevate the results of such a computation to the ...

Active learning enables prediction models to achieve better performance faster by adaptively querying an oracle for the labels of data points. Sometimes the oracle is a human, for example when a ...

ABSTRACT: This study presents a two-echelon inventory routing problem (2E-IRP) with an end-of-tour replenishment (ETR) policy whose distribution network consists of a supplier, several distribution ...