The elastic strain energy-driven thin-walled deployable composite structures, characterized
by their integration of structure and functionality, have attracted considerable attention in the …

With the growing interest in win–win cooperation within the logistics industry recently,
collaborative multicenter logistics networks have witnessed the establishment of numerous …

In addition to the search for feasible solutions, the utilization of informative infeasible
solutions is important for solving constrained multiobjective optimization problems (CMOPs) …

Thin-walled deployable composite hinges (DCHs) can achieve foldable and deployable
functions by storing and releasing strain energy, which have great application potential in …

It is challenging to balance convergence and diversity while fully satisfying feasibility when
dealing with constrained multi-objective optimization problems (CMOPs). Overemphasizing …

The tradeoff between objective functions and constraints is a key issue that needs to be
addressed by constrained multiobjective optimization algorithms, and constraint handling …

Unlike the considerable research on solving many-objective optimization problems (MaOPs)
with evolutionary algorithms (EAs), there has been much less research on constrained …

Research on project scheduling optimization is trending toward many‐objective
optimization, in which the number of objectives exceeds three. However, existing studies …

In the past decades, the ensemble systems have been shown as an efficient method to
increase the accuracy and stability of classification algorithms. However, how to get a valid …

Recently, angle-based approaches have shown promising for unconstrained many-
objective optimization problems (MaOPs), but few of them are extended to solve constrained …