January 2020
Intermediate to advanced
346 pages
9h 8m
English
Content preview from Hands-On Genetic Algorithms with Python
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Constraint satisfaction in search problems
In the previous chapter, we looked at solving search problems, which focused on the methodic evaluation of states and transitions between states. Every state transition typically involves a cost or gain, and the objective of the search was to minimize the cost or maximize the gain. Constraint satisfaction problems are a variant of search problems, where the states must satisfy a number of constraints or limitations. If we are able to translate the various violations of constraints into cost and then strive to minimize the cost, solving a constraint satisfaction problem can resemble solving a general search problem.
Like combinatorial optimization problems, constraint satisfaction problems have important ...
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