The Travelling Salesman Problem is one of those deceptively simple problems that quickly becomes brutal. Given a list of cities, what is the shortest possible route that visits each city once and ...

This repository contains comprehensive implementations of algorithms from the classic textbook "Fundamentals of Computer Algorithms" (Second Edition) by Ellis Horowitz, Sartaj Sahni, and Sanguthevar ...

Combinatorial optimization underpins applications in artificial intelligence, logistics, and network design, yet classical techniques such as greedy search and dynamic programming struggle to balance ...

Abstract: The Greedy Permuting Method (GPM) is a method introduced for initial population generation in the Genetic Algorithm (GA). For a test problem with 280 cities, the generated initial population ...

The shallow sea underwater acoustic channel exhibits a significant sparse multipath structure. The temporally multiple sparse Bayesian learning (TMSBL) algorithm can effectively estimate this sparse ...

Mammalian axons are specialized for transmitting action potentials to targets within the central and peripheral nervous system. A growing body of evidence suggests that, besides signal conduction, ...

Vehicle Routing Problem or simply VRP is a well known combinatorial optimization problem and a generalization of the travelling salesman problem. A definition of the problem is this: We have a number ...

Abstract: The Travelling Salesman Problem (TSP) is one of the typical combinatorial optimization problems that is easy to describe but hard to solve. In this work, we present a novel solution that ...

“There is enough treachery, hatred violence absurdity in the average human being to supply any given army on any given day […]“. Although feelings such as treachery and hatred do not comply with the ...

Creating flexible and robust brain machine interfaces (BMIs) is currently a popular topic of research that has been explored for decades in medicine, engineering, commercial, and machine-learning ...