# Acronyms that contain the term evolutionary algorithm

#### What does evolutionary algorithm mean? This page is about the various possible meanings of the acronym, abbreviation, shorthand or slang term: evolutionary algorithm.

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EA

Evolutionary Algorithm

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QEA

Quantum-inspired Evolutionary Algorithm

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WGEA

Window Growth Evolutionary Algorithm

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CEA

Classic Evolutionary Algorithm

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QIEA

Quantum Inspired Evolutionary Algorithm

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DEAP

Distributed Evolutionary Algorithm in Python

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EAP

Evolutionary Algorithm in Python

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GDEA

Grand Deluge Evolutionary Algorithm

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GDEA

Genetic Diversity Evolutionary Algorithm

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APEMA

Asynchronous Parallel Evolutionary Modeling Algorithm

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#### What does evolutionary algorithm mean?

Evolutionary algorithm
In artificial intelligence (AI), an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm. An EA uses mechanisms inspired by biological evolution, such as reproduction, mutation, recombination, and selection. Candidate solutions to the optimization problem play the role of individuals in a population, and the fitness function determines the quality of the solutions (see also loss function). Evolution of the population then takes place after the repeated application of the above operators. Evolutionary algorithms often perform well approximating solutions to all types of problems because they ideally do not make any assumption about the underlying fitness landscape. Techniques from evolutionary algorithms applied to the modeling of biological evolution are generally limited to explorations of microevolutionary processes and planning models based upon cellular processes. In most real applications of EAs, computational complexity is a prohibiting factor. In fact, this computational complexity is due to fitness function evaluation. Fitness approximation is one of the solutions to overcome this difficulty. However, seemingly simple EA can solve often complex problems; therefore, there may be no direct link between algorithm complexity and problem complexity.

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