The task of providing optimal composite structures is increasingly difficult. New analysis
approaches seek to model the material at the fibre/matrix scale and increasingly more …

When attempting to better understand the strengths and weaknesses of an algorithm, it is
important to have a strong understanding of the problem at hand. This is true for the field of …

In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …

In evolutionary multiobjective optimization, maintaining a good balance between
convergence and diversity is particularly crucial to the performance of the evolutionary …

We propose a surrogate-assisted reference vector guided evolutionary algorithm (EA) for
computationally expensive optimization problems with more than three objectives. The …

Practitioners often encounter computationally expensive multiobjective optimization
problems to be solved in a variety of real-world applications. On the purpose of challenging …

Evolutionary algorithms (EAs) have shown to be promising in solving many-objective
optimization problems (MaOPs), where the performance of these algorithms heavily …

Optimization is a branch of applied mathematics and numerical analysis. Almost every
problem in engineering, science, economics, and life can be formulated as an optimization …

Practitioners often encounter challenging real-world problems that involve a simultaneous
optimization of multiple objectives in a complex search space. To address these problems …

The interests in multiobjective and many-objective optimization have been rapidly
increasing in the evolutionary computation community. However, most studies on …