Algorithms For Dummies

  Considering Heuristics 

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recognizing spoken words or the content of an image, aren’t solvable in an exact 

sequence of steps and rules.

Going from genetic to AI

The  Chapter  18  local  search  discussion  presents  heuristics  such  as  simulated 

annealing and tabu search, which helps with hill-climbing optimization (not get-

ting stuck with solutions that are less than ideal). Apart from these, the family of 

heuristics comprises many different applications, among which are the following:

 

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Swarm intelligence: A set of heuristics based on the study of the behavior of 

insect swarms (such as bees, ants, or fireflies) or particles. The method uses 

multiple attempts to find a solution using agents (such as running several 

instances of the same algorithm) that interact cooperatively between them-

selves and the problem setting. Professor Marco Dorigo, one of the top experts 

and contributors on the study of swarm intelligence algorithms, provides more 

information on this topic at 

http://www.aco-metaheuristic.org/

.