Section: New Results

Multi-decoding strategy for Multi-objective Unit Commitment Problem

Participants : Sophie Jacquin, Lucien Mousin, Igor Machado, Laetitia Jourdan, El-Ghazali Talbi.

In the multiobjective version of the UCP taking the emission of gas into account, the dispatching problem remains easy to solve whereas considering it separatly remains interesting. A multi-objective GA handling binary vectors is applied. However for a binary representation there is a set of solutions of the dispatching problem that are pareto equivalent. In this approach a genotypic solution is associated with a set of phenotypic solutions. This set of solutions is from the optimal pareto front solution of the dispatching problem associated with the genotypic solution. As many phenotypic solutions are attached to a single genotypic solution, the fitness assignment and diversity assignment methods of NSGA-II have to be adapted. The multi decoding embedded approach has shown very good performances in comparison to two other less complex decoding systems.