activity
20082026
most citedOn the Neutrality of Flowshop Scheduling Fitness Landscapes

23 citations · 48 across the 12 of their papers we have counts for

collaborators

12 papers

cs.NE2026

Impact of diversity on bounded archives for multi-objective local search

Amadeu A. Coco, Cyprien Borée, Julien Baste +2

This work tackles two critical challenges related to the development of metaheuristics for Multi-Objective Optimization Problems (MOOPs): the exponential growth of non-dominated so…

eess.SP2020

Bypassing or flying above the obstacles? A novel multi-objective UAV path planning problem

Mahmoud Golabi, Soheila Ghambari, Julien Lepagnot +3

This study proposes a novel multi-objective integer programming model for a collision-free discrete drone path planning problem. Considering the possibility of bypassing obstacles…

math.CO2013★ 2 cited

Neutrality in the Graph Coloring Problem

Marie-Eleonore Marmion, Aymeric Blot, Laetitia Jourdan +1

The graph coloring problem is often investigated in the literature. Many insights about many neighboring solutions with the same fitness value are raised but as far as we know, no…

cs.NE2012★ 19 cited

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

Sébastien Verel, Arnaud Liefooghe, Laetitia Jourdan +1

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 o…

cs.NE2012★ 23 cited

On the Neutrality of Flowshop Scheduling Fitness Landscapes

Marie-Eleonore Marmion, Clarisse Dhaenens, Laetitia Jourdan +2

Solving efficiently complex problems using metaheuristics, and in particular local searches, requires incorporating knowledge about the problem to solve. In this paper, the permuta…

cs.NE2012

On the Effect of Connectedness for Biobjective Multiple and Long Path Problems

Sébastien Verel, Arnaud Liefooghe, Jérémie Humeau +2

Recently, the property of connectedness has been claimed to give a strong motivation on the design of local search techniques for multiobjective combinatorial optimization (MOCO).…