Evolutionary Computation

What Does Evolutionary Computation Mean?

Evolutionary computation is an artificial intelligence subfield and closely linked to computational intelligence, involving lots of combinatorial optimization problems and continuous optimization.


It is employed in problem-solving systems that use computational models with evolutionary processes as the key design elements. It is an abstraction from the evolutionary concept in biology since it deals with methods and concepts that are continually and selectively evolving and optimizing.

Techopedia Explains Evolutionary Computation

Evolutionary computation is a general name for a group of problem-solving techniques whose principles are based on the theory of biological evolution, such as genetic inheritance and natural selection.

These techniques are applied to a variety of problems, from practical industry applications such as analytics and prediction algorithms to leading-edge scientific research such as protein folding.

Evolutionary computation is usually implemented on computer systems that are used to solve problems, implementing techniques such as evolutionary algorithms, differential evolution, genetic algorithms and harmony search.

Techniques in this field are used on problems that have too many variables for traditional algorithms to consider and in times where the approach to solving a particular problem is not well understood.


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Margaret Rouse

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical, business audience. Over the past twenty years her explanations have appeared on TechTarget websites and she's been cited as an authority in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine and Discovery Magazine.Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages. If you have a suggestion for a new definition or how to improve a technical explanation, please email Margaret or contact her…