Work

Meta‐Optimization Using Cellular Automata with Application to the Combined Trip Distribution and Assignment System Optimal Problem

Year: 2001

Type: article

Abstract: In this paper, meta-optimization and cellular automata have been introduced as a modeling environment for solving large-scale and complex transportation problems. A constrained system optimum combined trip distribution and assignment problem was selected to demonstrate the applicability of the cellular automata approach over classical mixed integer formulation. A mathematical formulation for the selected problem has been developed and a methodology for applying cellular automata has been presented. A numerical example network was used to illustrate the potential for using cellular automata as a modeling environment for solving optimization problems.

Source: Computer-Aided Civil and Infrastructure Engineering

DOI: 10.1111/0885-9507.00241

Authors: Wael M. ElDessouki, Yahya Fathi, Nagui Rouphail

Institutions: University of Connecticut, North Carolina State University

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: hybrid

Estimated APC paid: $5,230