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The traveling salesman problem is a mathematical optimization problem that asks for the shortest possible route that visits a set of cities once and only once. The problem is NP-hard, meaning that it is complicated to solve. However, many heuristics can be used to find reasonable solutions.
Keep your systems and data secure. DevOps is a set of practices that combines software development (Dev) and IT operations (Ops). DevOps aims to shorten the systems development life cycle and provide continuous delivery with high quality. Security is an integral part of DevOps. By following security best practices, you […]
The Traveling Salesman Problem (TSP) is a classic optimization problem in computer science. It is a problem of finding the shortest possible route that visits all of a set of cities once and then returns to the starting town. The TSP is NP-hard, meaning no known polynomial-time algorithm exists to […]
In today’s fast-paced world, staying productive cannot be easy. There are always more tasks than time to do, and it can be easy to feel overwhelmed. However, you can do a few simple things to improve your productivity by thinking algorithmically. Break down large tasks into smaller ones. One of […]
The traveling salesman problem (also called the traveling salesperson problem or TSP) asks: “Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the origin city?” It is an NP-hard problem in […]
Hill climbing is a mathematical optimization algorithm whose purpose is to find the best solution to a problem with a (large) number of possible solutions. Explaining the algorithm (and optimization in general) is best done using an example. In the Travelling salesman problem, we have a salesman who needs to […]
The Traveling Salesman Problem (TSP) is a well-known problem in computer science and operations research. It involves finding the shortest route that visits a given set of cities and returns to the starting point. Genetic algorithms (GAs) are famous for solving TSPs because they can find approximate solutions to complex […]