Algorithms & Optimisation Guides: Heuristics, Modelling & Simulation
Combinatorial optimisation studies problems where the number of possible solutions grows rapidly with problem size. These guides explain practical examples and search methods, including the Traveling Salesman Problem, job-shop scheduling, nearest-neighbour construction, 2-opt and 3-opt local search, and tabu search. Start with Optimization Problems Explained: Traveling Salesman, Job Shop Scheduling, and the Knight’s Tour, then continue to the detailed Traveling Salesman heuristic guide.
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Solving the Traveling Salesman Problem: Nearest Neighbor, 2-Opt, 3-Opt and Tabu Search
Learn how nearest neighbor builds a Traveling Salesman tour, how 2-opt and 3-opt improve it, and how tabu search escapes…
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Optimization Problems Explained: Traveling Salesman, Job Shop Scheduling, and the Knight’s Tour
What the Traveling Salesman Problem, Job Shop Scheduling, and the Knight’s Tour have in common — combinatorial explosion, NP-hardness, and…
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Spring Paradox and Braess’s Paradox and Self Driving Cars
https://fb.watch/oIuw-gtcQX/?mibextid=Nif5oz
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Boeing use Quantum Computer to Engineer Strong Lightweight Materials
IBM and Boeing chart a streamlined quantum approach to one of the biggest challenges in aerospace engineering https://www.ibm.com/case-studies/boeing
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A System-based Approach to Spares Management
The traditional approach to inventory provisioning sets all spares requirements to a level that meets an item’s performance measure, such…
