Optimal design of polymers is a challenging task due to their enormous chemical and
configurational space. Recent advances in computations, machine learning, and increasing …

The use of metamodeling techniques in the design and analysis of computer experiments
has progressed remarkably in the past 25 years, but how far has the field really come? This …

Real-world optimization problems typically involve multiple objectives to be optimized
simultaneously under multiple constraints and with respect to several variables. While multi …

In evolutionary multiobjective optimization, it is very important to be able to visualize
approximations of the Pareto front (called approximation sets) that are found by …

In many practical applications, the end-goal of multi-objective optimization is to select an
implementable solution that is close to the Pareto-optimal front while satisfying the decision …

The use of metamodeling techniques in the design and analysis of computer experiments
has progressed remarkably in the past two decades, but how far have we really come? This …

Recent advancements in computing power and speed provide opportunities to revolutionize
trade space exploration, particularly for the design of complex systems such as automobiles …

Two-dimensional multi-objective optimizations have been used for decades for the problems
in traffic engineering although only few times so far in the optimization of signal timings …

Delay tolerant networks (DTNs) have become a promising solution for extending Internet
boundaries to challenged environments such as satellite constellations. In this context …

The identification of the best possible helical pipe geometry for optimal mixing is challenging
since the two central objectives (minimizing pressure drop while maximizing mixing …