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Genetic Programming and Evolvable Machines, Vol. 12, No. 1, pp. 522, March 2011. ExpertDriven Genetic Algorithms for Simulating Evaluation FunctionsarXiv:1711.06841v1 cs. NE 18 Nov 2017Eli (Omid)
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Expert-driven genetic algorithms are used to optimize solutions by incorporating human expertise into the genetic algorithm process.
Researchers and developers who are utilizing expert-driven genetic algorithms are required to file them.
Expert-driven genetic algorithms can be filled out by inputting the necessary parameters and constraints based on the expertise provided.
The purpose of expert-driven genetic algorithms is to improve the efficiency and effectiveness of genetic algorithm optimization by incorporating expert knowledge.
Information such as the problem statement, expert knowledge utilized, algorithm parameters, and optimization results must be reported on expert-driven genetic algorithms.
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