A survey on evolutionary computation for complex continuous optimization
Complex continuous optimization problems widely exist nowadays due to the fast
development of the economy and society. Moreover, the technologies like Internet of things …
development of the economy and society. Moreover, the technologies like Internet of things …
Expedited feature-based quasi-global optimization of multi-band antenna input characteristics with jacobian variability tracking
S Koziel, A Pietrenko-Dabrowska - IEEE Access, 2020 - ieeexplore.ieee.org
Design of modern antennas relies-for reliability reasons-on full-wave electromagnetic
simulation tools. In addition, increasingly stringent specifications pertaining to electrical and …
simulation tools. In addition, increasingly stringent specifications pertaining to electrical and …
Hybrid NOMA-FDMA assisted dual computation offloading: A latency minimization approach
Edge computing has been considered as a promising solution for enabling computation-
intensive yet latency-sensitive applications at resource-constrained wireless devices (WDs) …
intensive yet latency-sensitive applications at resource-constrained wireless devices (WDs) …
Comparative study of optimization algorithms on the design of broadband antennas
M Kovaleva, D Bulger… - IEEE Journal on Multiscale …, 2020 - ieeexplore.ieee.org
Broadband antennas find many applications in modern communication systems, such as Wi-
Fi, 5G, and SatCom. Multiple competing optimization methods are available for the …
Fi, 5G, and SatCom. Multiple competing optimization methods are available for the …
Compact high-gain antenna with simple all-dielectric partially reflecting surface
This communication presents a simplified approach to design compact, wideband resonant-
cavity antennas (RCAs) with partially reflecting surfaces (PRSs) made out of only a single …
cavity antennas (RCAs) with partially reflecting surfaces (PRSs) made out of only a single …
A dual-robot cooperative arc welding path planning algorithm based on multi-objective cross-entropy optimization
Q Tang, L Ma, D Zhao, Y Sun, J Lei, Q Wang - Robotics and Computer …, 2024 - Elsevier
In this paper a novel discrete multi-objective cross-entropy optimization (CrMOCEO)
algorithm is proposed to solve the path planning problem of dual-robot cooperative arc …
algorithm is proposed to solve the path planning problem of dual-robot cooperative arc …
Accelerated gradient-based optimization of antenna structures using multifidelity simulations and convergence-based model management scheme
S Koziel, A Pietrenko-Dabrowska - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The importance of numerical optimization has been steadily growing in the design of
contemporary antenna structures. The primary reason is the increasing complexity of …
contemporary antenna structures. The primary reason is the increasing complexity of …
A novel cross entropy approach for offloading learning in mobile edge computing
In this letter, we propose a novel offloading learning approach to compromise energy
consumption and latency in a multi-tier network with mobile edge computing. In order to …
consumption and latency in a multi-tier network with mobile edge computing. In order to …
Learning oriented cross-entropy approach to user association in load-balanced HetNet
This letter considers optimizing user association in a heterogeneous network via utility
maximization, which is a combinatorial optimization problem due to integer constraints …
maximization, which is a combinatorial optimization problem due to integer constraints …
A multi-objective cross-entropy optimization algorithm and its application in high-speed train lateral control
Q Tang, L Ma, D Zhao, J Lei, Y Wang - Applied Soft Computing, 2022 - Elsevier
In this paper a novel improved multi-objective cross-entropy optimization (MOCEO+)
algorithm is proposed. We seek to provide a low-cost, fast and effective solution for complex …
algorithm is proposed. We seek to provide a low-cost, fast and effective solution for complex …