THE AIRPORT GATE ASSIGNMENT PROBLEM – MULTI-OBJECTIVE OPTIMIZATION VERSUS EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZATION | Zendy

Ignacy Kaliszewski | Zendy; Janusz Miroforidis | Zendy; Jarosław Stańczak | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

THE AIRPORT GATE ASSIGNMENT PROBLEM – MULTI-OBJECTIVE OPTIMIZATION VERSUS EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZATION

Author(s) -

Ignacy Kaliszewski,

Janusz Miroforidis,

Jarosław Stańczak

Publication year - 2017

Publication title -

computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.145

H-Index - 5

eISSN - 2300-7036

pISSN - 1508-2806

DOI - 10.7494/csci.2017.18.1.41

Subject(s) - computer science , multi objective optimization , mathematical optimization , solver , evolutionary algorithm , optimization problem , decision maker , operations research , artificial intelligence , algorithm , machine learning , mathematics

In this paper, we approach the Airport Gate Assignment Problem by Multiobjective Optimization as well as Evolutionary Multi-objective Optimization. We solve a bi-criteria formulation of this problem by the commercial mixedinteger programming solver CPLEX and a dedicated Evolutionary Multiobjective Optimization algorithm. To deal with multiple objectives, we apply a methodology that we developed earlier to capture decision-maker preferences in multi-objective environments. We present the results of numerical tests for these two approaches.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research