Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes

Autor:	Verel, Sébastien, Liefooghe, Arnaud, Jourdan, Laetitia, Dhaenens, Clarisse
Rok vydání:	2012
Předmět:	Computer Science - Neural and Evolutionary Computing Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
DOI:	10.1007/978-3-642-25566-3_9
Popis:	In multiobjective combinatorial optimization, there exists two main classes of metaheuristics, based either on multiple aggregations, or on a dominance relation. As in the single objective case, the structure of the search space can explain the difficulty for multiobjective metaheuristics, and guide the design of such methods. In this work we analyze the properties of multiobjective combinatorial search spaces. In particular, we focus on the features related the efficient set, and we pay a particular attention to the correlation between objectives. Few benchmark takes such objective correlation into account. Here, we define a general method to design multiobjective problems with correlation. As an example, we extend the well-known multiobjective NK-landscapes. By measuring different properties of the search space, we show the importance of considering the objective correlation on the design of metaheuristics. Comment: Learning and Intelligent OptimizatioN Conference (LION 5), Rome : Italy (2011)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1207.4631 Zobrazit plný text záznamu View this record from Arxiv