Realization of Layout Problem Based on Genetic Algorithm
Shaobo Deng
Abstract
Shaobo Deng
Abstract
To overcome the drawback of earlymaturing in only genetic algorithm,the authors present a new type of algorithm which connect genetic algorithm with heuristic algorithm According to genetic algorithm,the application of layout optimization problem also were presented The result shows the algorithm improved the quality of solution
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
To overcome the drawback of earlymaturing in only genetic algorithm,the authors present a new type of algorithm which connect genetic algorithm with heuristic algorithm According to genetic algorithm,the application of layout optimization problem also were presented The result shows the algorithm improved the quality of solution
Key concepts: Computer science, Genetic algorithm, Realization (probability), Algorithm, Population-based incremental learning, Meta-optimization, Heuristic, Cultural algorithm