Efficiency of interactive multi-objective simulated annealing through a case study

We have previously developed an adaptation of the simulated annealing for Multi-Objective Combinatorial Optimisation (MOCO) problems to construct an approximation of the efficient set of such problems. Here we transform this approach to propose an interactive procedure deriving a ‘good compromise’. The method is tested on the problem of homogeneous grouping of nuclear fuel cans which is in fact multi-objective even if the approaches proposed in the literature do not handle this multi-dimensional characteristic.