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oai:riuma.uma.es:10630/56182026-02-03T11:24:19Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc Chicano-García, José-Francisco author Luque-Polo, Gabriel Jesús author Alba-Torres, Enrique author 2013 In order to understand the structure of a problem we need to measure some features of the problem. Some examples of measures suggested in the past are autocorrelation and fitness-distance correlation. Landscape theory, developed in the last years in the field of combinatorial optimization, provides mathematical expressions to efficiently compute statistics on optimization problems. In this paper we discuss how can we use optimización combinatoria in the context of problem understanding and present two software tools that can be used to efficiently compute the mentioned measures. Workshop of Problem Understandin and Real-World Optimization, in GECCO companion: 1055-1062 http://hdl.handle.net/10630/5618 Optimización combinatoria Problem Understanding through Landscape Theory