APPLICATION OF FUZZY LOGIC AND GENETIC ALGORITHM IN TRIP DISTRIBUTION
Fuzzy Logic, Genetic Algorithm, Genetic-Fuzzy Systems, Transportation Planning, Trip Distribution.
This article examines possibilities for the application of soft computing techniques especially fuzzy logic and genetic algorithm for the prediction of travel demand. Fuzzy Logic (FL) addresses the imprecision or vagueness in input and output description of the system. It deals with reasoning that is approximate rather than fixed and exact. Fuzzy logic is shown to be a very promising mathematical approach for modelling traffic and transportation processes characterized by subjectivity, ambiguity, and uncertainty and imprecision. Genetic Algorithm (GA) is a search heuristic that mimics the process of natural selection. It generates solution to optimization and search problems using techniques inspired by natural evolution such as inheritance, mutation, selection and crossover. Each technology has its own advantages and disadvantages. Therefore, hybridization of these is done to overcome the weakness. This paper presents analysis of the results achieved using soft computing techniques like fuzzy logic and genetic algorithm for modeling trip distribution
DARSHANA OTHAYOTH. "APPLICATION OF FUZZY LOGIC AND GENETIC ALGORITHM IN TRIP DISTRIBUTION".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.1, Issue 2, pp.55 - 57, URL :https://rjwave.org/ijedr/papers/IJEDR1302011.pdf
Volume 1 Issue 2
Pages. 55 - 57
