... rights only Assembly line balancing Robust optimization Resource-constrained Minmax regret Whale optimization algorithm A simple assembly line balancing problem (SALBP) aims at maximizing the efficiency and only considers the precedence relations constraints. The SALBP assumes that any...

... performance of engineering systems and change the feasibility of the obtained solutions. This paper aims to propose a multi-objective robust optimization approach based on Kriging metamodel (K-MORO) to obtain the robust Pareto set under the interval uncertainty. Design/methodology/approach In K-MORO...

...Qi Zhou; Ping Jiang; Xinyu Shao; Hui Zhou; Jiexiang Hu Purpose Uncertainty is inevitable in real-world engineering optimization. With an outer-inner optimization structure, most previous robust optimization (RO) approaches under interval uncertainty can become computationally intractable because...

... by introducing simplified hypothesis and safety or design factors. This tendency has been changing due to the increase in the use of adequate numerical tools for dealing with this class of problems. Robust optimization Multiobjective optimization Probabilistic collocation method Reduced basis method...

...Pietro Marco Congedo; Gianluca Geraci; Rémi Abgrall; Valentino Pediroda; Lucia Parussini Purpose – This paper aims to deal with an efficient strategy for robust optimization when a large number of uncertainties are taken into account. Design/methodology/approach – ANOVA analysis is used...

... on real function evaluations, not merely measures (i.e. mean of the probabilistic distribution) that potentially do not exist. © Emerald Group Publishing Limited 2013 Robust optimization Uncertainty quantification CDF CFD Formula 1 Pareto front Consider a set of M objective...