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==Popularity and usage==

==Popularity and usage==

Evolutionary algorithm's are general purpose optimizers because they do not require any assumptions about the landscape of the fitness function. They are used in a wide range of problems in diverse fields and have proven to be a highly effective numerical analysis method.  

Evolutionary algorithms are general purpose optimizers because they do not require any assumptions about the landscape of the fitness function. They are used in a wide range of problems in diverse fields and have proven to be a highly effective numerical analysis method.  

The EA can often discover optimal solutions that human being's have never thought of. The Evolvable System's Group at NASA recently used a genetic algorithm to find an antenna design far superior to any previously created.<ref>http://ic.arc.nasa.gov/projects/esg/research/antenna.htm</ref> This ability of the EA to produce solutions that human being's have never even thought of is often used to attest to the power of evolutionary mechanism to produce novel and efficient solutions to problem sets. <ref>http://www.stewdean.com/alife/evolution.html</ref>

The EA can often discover optimal solutions that human being's have never thought of. The Evolvable System's Group at NASA recently used a genetic algorithm to find an antenna design far superior to any previously created.<ref>http://ic.arc.nasa.gov/projects/esg/research/antenna.htm</ref> This ability of the EA to produce solutions that human being's have never even thought of is often used to attest to the power of evolutionary mechanism to produce novel and efficient solutions to problem sets. <ref>http://www.stewdean.com/alife/evolution.html</ref>