minimizing the shortage. The contribution of this research is to introduce a new multi-objective, multi-product, and multi … prescribed minimum quality standards. A weighted sum approach converts the multi-objective problem of minimizing a vector of … solver. The solution obtained from the multi-objective problem allows us to identify days and products experiencing shortages …

We present a framework for multi-objective optimization where the classical mean-variance portfolio model is extended …-dimensional Pareto front, we apply an efficient multi-objective genetic algorithm, which is based on the concept of ɛ-dominance. We next …

using four Multi-Objective Optimization (MOO) techniques: MOPSO, NSGAII, NSGAIII, and MOEA/D. The main goals are to minimize …

In multi-objective mixed-integer convex optimization, multiple convex objective functions need to be optimized … compute an enclosure of the nondominated set of such optimization problems. More precisely, we decompose the multi-objective … mixed-integer convex optimization problem into several multi-objective continuous convex optimization problems, which we …