Multiple-gradient descent algorithm (MGDA) for multiobjective optimization

One considers the context of the concurrent optimization of several criteria J i ( Y ) ( i = 1 , … , n ), supposed to be smooth functions of the design vector Y ∈ R N ( n ⩽ N ). An original constructive solution is given to the problem of identifying a descent direction common to all criteria when t... View More