GABF: genetic algorithm with base fitness for obtaining generality from partial results: study in autonomous intersection by fuzzy logic

作者:E. Onieva, E. Osaba, X. Zhang, A. Perallos

摘要

Many applications of optimization techniques, such as classification and regression problems, require long simulations to evaluate the performance of their solutions. Problems where the fitness function can be divided into smaller pieces—problem partitioning—demand techniques that approximate the overall fitness from that obtained in a small region of the problem space. This means that less time is spent evaluating individual solutions, which makes such approaches computationally efficient.

论文关键词:Intelligent transportation systems, Autonomous vehicles, Intelligent intersections, Genetic algorithms, Efficiency enhancement techniques, Fuzzy rule-based systems

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论文官网地址:https://doi.org/10.1007/s10489-013-0498-5