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

The Traveling Salesman Problem (TSP) is a classic NP-hard optimization challenge, requiring an efficient approach to identify near-optimal solutions. This paper presents a hybrid algorithm combining ...

This is a course project for Artificial Intelligence of UIT. The selected topic is Using Genetic Algorithm for Traveling Theif Problem. This is my Master's thesis in computer science at ITMO ...

With the importance of time and cost in today’s world, it is essential to solve problems in the best way possible. Optimization is a process used to achieve this goal and is applied in several areas, ...

For almost half the history of life on Earth, the complexity of all organisms was limited to that of simple prokaryotic cells such as contemporary bacteria. The process by which genes are activated, ...

Find out what activities you can and can't do on travelling stock reserves (TSR) in different regions of NSW. Also, what requires a permit on these parcels of Crown land. Local Land Services NSW is ...

We introduce a method for solving a quadratic unconstrained binary optimization (QUBO) with the two-way one-hot constraints by dividing the QUBO into parts and solving it with an Ising machine. The ...

1 Transportation Engineering College, Dalian Maritime University, Dalian, China. 2 School of Maritime Economics and Management, Dalian Maritime University, Dalian, China. With the development of the ...

Big O - upper bound Big Omega - lower bound Big Theta - upper and lower bound - that's what's usually used but called Big O. An ArrayList is implemented with an array. When the array hits capacity, ...

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 ...