We expose and contrast the impact of landscape characteristics on the performance of
search heuristics for black-box multiobjective combinatorial optimization problems. A sound …

The structure of the search space explains the behavior of multiobjective search algorithms,
and helps to design well-performing approaches. In this work, we analyze the properties of …

In this paper, we demonstrate the application of features from landscape analysis, initially
proposed for multi-objective combinatorial optimisation, to a benchmark set of 1 200 …

In this article, we attempt to understand and to contrast the impact of problem features on the
performance of randomized search heuristics for black-box multiobjective combinatorial …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

So far, multi-objective NK landscapes have been investigated under the assumption of a
homogeneous nature of the involved objectives in terms of difficulty. However, we argue that …

Fitness landscape analysis aims to understand the geometry of a given optimization
problem in order to design more efficient search algorithms. However, there is a very little …

In this paper, we conduct a fitness landscape analysis for multiobjective combinatorial
optimization, based on the local optima of multiobjective NK-landscapes with objective …

This manuscript presents the research activities I conducted as an Associate Professor
(«Maître de Conférences») with the University of Lille since 2010. They deal with search …

Multimodality plays a key role as one of the most challenging problem characteristics in the
common understanding of solving optimization tasks. Based on insights from the single …