Over past few decades, as a powerful analytical tool to characterize the fitness landscape of
a problem, fitness landscape analysis (FLA) has been widely concerned and utilized for all …

In this work a new benchmark of hard instances for the permutation flowshop scheduling
problem with the objective of minimising the makespan is proposed. The new benchmark …

The synthetic aperture radar (SAR) technology enables satellites to efficiently acquire high
quality images of the Earth surface. This generates significant communication traffic from the …

This paper presents a general-purpose software framework dedicated to the design, the
analysis and the implementation of local search metaheuristics: ParadisEO-MO. A …

Virtual network embedding (VNE) is a challenging combinatorial optimization problem that
has been widely addressed through metaheuristics. However, one key element for the …

The no-wait flow-shop scheduling problem (NFSSP) with sequence-dependent setup times
(SDSTs) and release times (RTs) is applicable in many areas, such as steel production, food …

The proper setting of algorithm parameters is a well-known issue that gave rise to recent
research investigations from the (offline) automatic algorithm configuration perspective …

Multi-objectivization represents a current and promising research direction which has led to
the development of more competitive search mechanisms. This concept involves the …

Local Optima Networks were proposed to understand the structure of combinatorial
landscapes at a coarse-grained level. We consider a compressed variant of such networks …

This paper presents a new methodology that exploits specific characteristics from the fitness
landscape. In particular, we are interested in the property of neutrality, that deals with the fact …