Improved dynamic lexicographic ordering for multi-objective optimisation

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Castro-Gutierrez, Juan, Landa-Silva, Dario and Moreno-Perez, Jose A. (2010) Improved dynamic lexicographic ordering for multi-objective optimisation. In: Parallel Problem Solving from Nature - PPSN XI, Lecture Notes in Computer Science, Vol. 6239, 11-15 September 2010, Kraków, Poland.

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Abstract

There is a variety of methods for ranking objectives in multiobjective optimization and some are difficult to define because they require information a priori (e.g. establishing weights in a weighted approach or setting the ordering in a lexicographic approach). In manyobjective optimization problems, those methods may exhibit poor diversification and intensification performance. We propose the Dynamic Lexicographic Approach (DLA). In this ranking method, the priorities are not fixed, but they change throughout the search process. As a result, the search process is less liable to get stuck in local optima and therefore, DLA offers a wider exploration in the objective space. In this work, DLA is compared to Pareto dominance and lexicographic ordering as ranking methods within a Discrete Particle Swarm Optimization algorithm tackling the Vehicle Routing Problem with Time Windows.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/706718
Additional Information: Note: Presented at the 11th International Conference on Parallel Problem Solving From Nature (PPSN 2010), Krakow Poland, September 2010. doi: 10.1007/978-3-642-15871-1_4
Keywords: multiobjective optimization, vehicle routing, swarm optimization
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Landa-Silva, Dario
Date Deposited: 01 Aug 2016 08:57
Last Modified: 04 May 2020 16:29
URI: https://eprints.nottingham.ac.uk/id/eprint/35589

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