Abstract Traveling Salesman Problem (TSP) is a main attention issue at present. Neural
network can be used to solve combinatorial optimization problems. In recent years, there …

This article presents the Ant Colony Optimization algorithm to solve the Travelling Salesman
Problem. The proposed algorithm implements three novel techniques to enhance the overall …

Swarm intelligence-based metaheuristic algorithms have attracted the attention of the
research community and have been exploited for effectively solving different optimization …

The traveling salesman problem is a well-known combinatorial optimization problem.
Solving the traveling salesman problem efficiently becomes more challenging when …

Sentiment analysis is a sub-domain in opinion mining that extracts sentiments from the
users' opinions from text messages. Opinions from E-commerce websites, blogs, online …

Using the realistic background of antipiracy escort operations in the Gulf of Aden, this study
presents a moving-target travelling salesman problem (MT-TSP) of a helicopter patrolling …

The traveling salesman problem is a classic combinatorial optimization challenge with
profound implications for various industries. While significant progress has been made in …

Abstract The Coalbed Methane (CBM) well maintenance tasks scheduling optimization is of
importance for improving the CBM production efficiency. Traditionally, this problem is …

For the logistics environment, multi-UAV algorithms have been studied for the purpose of
order picking in warehouses. However, modern order picking adopts static order picking …

Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the
objective of intelligently combining heuristic methods to solve hard optimization problems …