Remember back in middle school we were taught system of equations, equalities and inequalities? It was so much fun, drawing shaded region in a two dimensional piece of paper. At that point I had no idea I could make a living out of it until I came across Operations Research. Now, I do similar things on a much larger scale, using sophisticated algorithms for real world problems. I work as an Optimization modeler in supply chain for a manufacturing company in Seattle, Washington.
A modified Kruskal's algorithm for finding clusters or forest of trees from graph with potential limitations on total tree arc weight and total node weights in clusters.
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Local search algorithms for solving famous traveling salesman problem yielding suboptimal solution relatively quickly compared to exact approaches.
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A case study exploring capacity expansion options for a fulfillment style distribution system with limited geographic scope. The study compares cost and service based metrics solving as far as delivery routing.
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Python based implementation of different algorithms for finding convex hull of a set of points in two dimensional spaces.
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