A game theory based land layout optimization of cities using genetic algorithm. Issue 3 (3rd July 2019)

• Record Type: Journal Article
• Authors: Paritosh, Parth; Kalita, Bhaben; Sharma, Deepak
• Is Part Of: International journal of management science and engineering management. Volume 14:Issue 3(2019)
• Page Start: 155
• Page End: 168
• Publication Date: 2019-07-03
• Subjects: Layout optimization -- game theory -- genetic algorithm -- swap -- resize; Management science -- Periodicals; Engineering -- Management -- Periodicals; Engineering -- Management; Management science; Periodicals; 658.005
• DOI: 10.1080/17509653.2018.1505566
• Languages: English
• ISSNs: 1750-9661

Abstract

ABSTRACT: Layout optimization is carried out to achieve the true economic potential of cities by ensuring optimal land usage. This paper presents a novel framework to resolve conflicts between types of land usage while considering the effect of neighboring land plots to generate efficient city layouts. The optimization problem is modeled as a game between land-usage based players, each trying to maximize payoff based on expected layout modifications. It is worth noting that this framework aims to include multi-stakeholder competition, land patch shaping, and neighbor plot effects. A game-theory based approach is coupled with genetic algorithm in which swapping and resizing operators are used to generate a new solution. A parametric study on fitness evaluation of algorithmic output layouts is presented. The presented optimization framework has been implemented on land usage map of Guwahati, a city in north-east India.