Optimization and Simulation

In course

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Description

This lecture covers the principles of greedy heuristics in optimization problems, including step-by-step construction of feasible solutions, knapsack and traveling salesman problems, and integrality constraints. It also discusses issues with rounding and compares optimization methods like exact methods, approximation algorithms, and heuristics.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_59jlhqx4

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Ontological neighbourhood

Theoretical computer science

Algorithms and data structures: Combinatorial optimization

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