AI for Logistics & Route Optimization — PickAClass

AI for Logistics & Route Optimization

Apply AI algorithms to solve complex logistics challenges, including vehicle routing, warehouse slotting, and last-mile delivery optimization.

424 courses

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Understanding Prim's Algorithm for Minimum Spanning Trees

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Genetic Algorithms for Optimization in Python

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Dynamic Programming Patterns: Unbounded Knapsack and Rod Cutting in Python

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Bipartite Matching: Graph Theory and the Ford-Fulkerson Algorithm

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Basic Graph Algorithms in Python: Pathfinding and Network Optimization

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Array Algorithms: Solving the Maximum Sum Subarray Problem

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Borůvka's Algorithm: Building Efficient Minimum Spanning Trees

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Genetic Algorithms: Optimizing Machine Learning Hyperparameters

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Graph Bipartite Problem: BFS and 2-Coloring Algorithms

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Solving the Traveling Salesperson Problem with Distance Metrics

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Vertex Covers and Matchings: Graph Theory and Duality

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Algorithmic Problem Solving with Exhaustive Search

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Gale-Shapley Algorithm: Stable Matchings for Beginners

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Graph Algorithms: Finding and Printing the Shortest Path with BFS

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Johnson's Algorithm for All-Pairs Shortest Paths

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Introduction to Optimization and Problem-Solving Methods

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Maze Pathfinding Algorithms: Understanding Cost vs. Distance

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Graph Matchings and Resource Allocation for Beginners

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Graph Algorithms: Minimum Spanning Trees and Shortest Paths

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Graph Algorithms: Updating Minimum Spanning Trees in Java

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Optimization Algorithms in Python: Binary Search, Gradient, and Newton

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Grid Search in Machine Learning: Advantages, Limits, and Practical Alternatives

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Python Constrained Optimization: Practical Problem-Solving Guide

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Optimizing Task Assignment Using Genetic Algorithms

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Showing 337–360 of 424 courses