Optimization of fuzzy reasoning by genetic algorithm using variable bit-selection probability

Abstract

Genetic algorithms (GA) are known as optimization algorithms that can avoid convergence to local solutions by global search in solution space. However, especially in the field of control, when fuzzy reasoning is to be optimized, global optimal solutions are not necessarily required. In many cases, local solutions obtained at low cost are preferable. For… (More)
DOI: 10.1002/(SICI)1520-684X(19990615)30:6%3C54::AID-SCJ6%3E3.0.CO;2-3

Topics

Figures and Tables

Sorry, we couldn't extract any figures or tables for this paper.