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2010
Springer

Improved Dynamic Lexicographic Ordering for Multi-Objective Optimisation

9 years 9 months ago
Improved Dynamic Lexicographic Ordering for Multi-Objective Optimisation
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.
Juan Pedro Castro Gutiérrez, Dario Landa-Si
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Where PPSN
Authors Juan Pedro Castro Gutiérrez, Dario Landa-Silva, José A. Moreno-Pérez
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