List of genetic algorithm applications: Difference between revisions

Revision as of 22:15, 7 September 2013

Revision as of 22:27, 7 September 2013

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* [[Genetic Algorithm for Rule Set Production]]

* [[Genetic algorithm in economics|Economics]]

* [[Genetic algorithm scheduling|Scheduling applications]], including [[Job Shop Scheduling|job-shop scheduling]] and scheduling in [[printed circuit board]] assembly<ref name="PCB">Maimon, Oded, Braha, Dan (1998) [http://necsi.edu/affiliates/braha/IJPR_GA.pdf A genetic algorithm approach to scheduling PCBs on a single machine], ''International Journal of Production Research'' '''36'''(3)</ref>. The objective being to schedule jobs in a [[sequence-dependent setup|sequence-dependent]] or non-sequence-dependent setup environment in order to maximize the volume of production while minimizing penalties such as tardiness.

* Learning [[robot]] behavior using genetic algorithms.

* Learning fuzzy rule base using genetic algorithms.

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* Timetabling problems, such as designing a non-conflicting class timetable for a large university.

* Training [[artificial neural networks]] when pre-classified training examples are not readily obtainable ([[neuroevolution]]).

* [[Traveling salesman problem]] and its applications<ref name="PCB"/>.

* Vehicle routing problems with multiple soft time windows, multiple depots and an heterogeneous fleet

* Wireless sensor/ad-hoc networks.<ref>[http://dssg.cs.umb.edu/wiki/index.php/BiSNET/e BiSNET/e – Distributed Software Systems Group, University of Massachusetts, Boston<!-- Bot generated title -->]</ref>