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About 03 Search Local EAs en
The document discusses solving search problems using local informed search strategies like evolutionary algorithms. It begins with a short introduction to artificial intelligence and then describes solving search problems using uninformed and informed search strategies, including local search strategies like hill climbing, simulated annealing, tabu search, evolutionary algorithms, particle swarm optimization, and ant colony optimization. Specifically, it focuses on informed local strategies like evolutionary algorithms.
Detailed Information
Author: | ['cri'] |
---|---|
Publication Year: | 2017 |
Pages: | 98 |
Language: | English |
Format: | |
Price: | FREE |
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