Antenna array syntheses are usually nonlinear optimization problems with many local
optima and constraints. A mathematical optimizer is limited to solving the synthesis problems …

Recent years have witnessed growing interests in online incremental learning. However,
there are three major challenges in this area. The first major difficulty is concept drift, that is …

Large-scale global optimization (LSGO) is a very important but thorny task in optimization
domain, which widely exists in management and engineering problems. In order to …

Intelligent manufacturing and industrial control systems frequently encounter expensive
many-objective optimization problems (EMaOPs). Surrogate-assisted evolutionary …

The antenna design is a challenging task, which might be time-consuming using
conventional computational methods that typically require high computational capability …

Vast majority of practical engineering design problems require simultaneous handling of
several criteria. For the sake of simplicity and through a priori preference articulation one …

By overcoming the distance limit in quantum key distribution (QKD) technology, key relaying
over trusted nodes is regarded as an essential function for practical quantum-secured …

The design of optical networks for maximum throughput under diverse traffic demands is a
long-standing NP-hard problem. In this paper, by parameterizing the relationship between …

An efficient design of optical networks is a complex challenge that requires knowledge of the
desired performance trends. Such knowledge would have a potential impact on an expert …

During the concept design of complex networked systems, concept developers have to
ensure that the choice of hardware modules and the topology of the target platform will …