Introduced in 1993, the DIRECT global optimization algorithm provided a fresh approach to
minimizing a black-box function subject to lower and upper bounds on the variables. In …

The impedance/admittance measurements of a piezoelectric transducer bonded to or
embedded in a host structure can be used as damage indicator. When a credible model of …

The tremendous growth of cloud-based data centres leads to significant amount of energy.
Thus, the prime concern for the cloud service providers is to generate environment friendly …

In recent years, interactive evolutionary multiobjective optimization methods have been
getting more and more attention. In these methods, a decision maker (DM), who is a domain …

The problem of workflow scheduling on virtual machines in a cloud environment is to find the
near optimal permutation of the assignment of independent computational jobs on a set of …

It is agreed that portfolio optimization is of great importance for the financial market.
However, input sensitivity and highly-concentrated portfolios have posed a challenge. In this …

Deterministic global optimization algorithms like Piyavskii–Shubert, direct, ego and many
more, have a recognized standing, for problems with many local optima. Although many …

We translate a multiobjective optimization problem into a single objective Lipschitz problem
by using the hypervolume criterion of the Pareto set. Deterministic global optimization …

Optimistic methods have been applied with success to single-objective optimization. Here,
we attempt to bridge the gap between optimistic methods and multi-objective optimization. In …

While constrained, multiobjective optimization is generally very difficult, there is a special
case in which such problems can be solved with a simple, elegant branch-and-bound …