Multi-objective optimisation problems involve finding solutions with var...
The difficulty of solving a multi-objective optimization problem is impa...
The success of metaheuristic optimization methods has led to the develop...
This paper intends to understand and to improve the working principle of...
Building a surrogate model of an objective function has shown to be effe...
Recently, there has been a renewed interest in decomposition-based appro...
The properties of local optimal solutions in multi-objective combinatori...
In multiobjective combinatorial optimization, there exists two main clas...
Solving efficiently complex problems using metaheuristics, and in partic...
Recently, the property of connectedness has been claimed to give a stron...
VEGAS (Varying Evolvability-Guided Adaptive Search) is a new methodology...
In this paper, we conduct a fitness landscape analysis for multiobjectiv...
Fitness landscape analysis aims to understand the geometry of a given
op...
This paper presents a new methodology that exploits specific characteris...