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About 03 Optimization
This document summarizes a lecture on search algorithms for optimization problems. It discusses two classes of methods: constructive methods that build up a solution from scratch, and iterative improvement methods that start with a solution and iteratively improve it. Specific iterative improvement algorithms covered include hill climbing, simulated annealing, genetic algorithms, and parallel search methods. The document provides examples and discusses the properties and implementation of these optimization search algorithms.
Detailed Information
| Author: | ['Rubab Iqbal'] |
|---|---|
| Publication Year: | 2012 |
| Pages: | 17 |
| Language: | English |
| Format: | |
| Price: | FREE |
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