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

OptFrame - C++17/C++20/C++23 Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated ...

Sediment plumes created by dredging or mining activities have an impact on the ecosystem in a much larger area than the mining or dredging area itself. It is therefore important and sometimes ...

In the ever-evolving world of web development, the transition from static to dynamic websites has been pivotal. Static websites, with their fixed content, have their charm and simplicity, but they ...

In this article I provide a three (3) known programming interview questions each from Google, Amazon, Microsoft, and Netflix and seven (7) from miscellaneous interviews I've been on. Each is answered ...

Abstract: We study the Traveling Salesman Problem (TSP) in the Congested Clique Model (CCM) of distributed computing. We present a deterministic distributed algorithm that computes a tour for the TSP ...

The program reads the graph data from the file v6.txt, computes the optimal route for the Traveling Salesman Problem, and outputs the minimum cost and the sequence of vertices representing the optimal ...

Combinatorial optimization problems are prevalent in various fields, but obtaining exact solutions remains challenging due to the combinatorial explosion with increasing problem size. Special-purpose ...

Abstract: Traveling salesman problem (TSP) is a problem of determining the shortest path for a salesman to take to visit all cities. Although a small number of cities is easy to solve, as the number ...

Modern industrial robots are increasingly deployed in dynamic environments, where unpredictable events are expected to impact the robot’s operation. Under these conditions, runtime task replanning is ...