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Lab 4: Evolutionary Computation and Swarm Intelligence Introduction Goals The goal of this assignment is to learn about two evolutionary computing methods: genetic algorithms, and particle swarm optimization.
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What is evolutionary computation - it?
Evolutionary computation is a subset of artificial intelligence that uses mechanisms inspired by biological evolution to solve complex problems.
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Individuals or organizations conducting research or applications in the field of evolutionary computation may be required to file relevant documents.
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To fill out evolutionary computation forms, one must provide relevant information about the project, algorithms used, implementation details, and results.
What is the purpose of evolutionary computation - it?
The purpose of evolutionary computation is to solve optimization and search problems by mimicking the process of natural selection and genetic evolution.
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Information such as the problem being addressed, the evolutionary algorithm used, parameter settings, and performance metrics must be reported on evolutionary computation.
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