January 2019
Intermediate to advanced
390 pages
9h 16m
English
Content preview from Hands-On Artificial Intelligence for IoT
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Disadvantages
Despite the previously mentioned advantages, we still do not find genetic algorithms to be a ubiquitous solution to all optimization problems. This is for the following reasons:
- If the optimization function is a well-behaved convex function, then gradient-based methods will give a faster convergence
- The large population of solutions that helps genetic algorithms cover the search space more extensively also results in slow convergence
- Designing a fitness function can be a daunting task
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