Differential Evolution: A review of more than two decades of research
Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most
frequently used algorithms for solving complex optimization problems. Its flexibility and …
frequently used algorithms for solving complex optimization problems. Its flexibility and …
Recent advances in accelerated multi-objective design of high-frequency structures using knowledge-based constrained modeling approach
Abstract Design automation, including reliable optimization of engineering systems, is of
paramount importance for both academia and industry. This includes the design of high …
paramount importance for both academia and industry. This includes the design of high …
An efficient approach for optimizing frequency reconfigurable pixel antennas using genetic algorithms
S Song, RD Murch - IEEE Transactions on Antennas and …, 2013 - ieeexplore.ieee.org
In this paper we describe a method for optimizing frequency reconfigurable pixel antennas.
The method utilizes a multi-objective function that is efficiently computed by using only one …
The method utilizes a multi-objective function that is efficiently computed by using only one …
Synthesis of modular contiguously clustered linear arrays through a sparseness-regularized solver
An innovative methodology for the design of modular and contiguously-clustered linear
arrays is proposed. The approach formulates the subarraying problem as a pattern matching …
arrays is proposed. The approach formulates the subarraying problem as a pattern matching …
Knowledge-guided active-base-element modeling in machine-learning-assisted antenna-array design
Machine-learning (ML)-assisted antenna-array design methods suffer from a heavy
computational burden. In this article, a knowledge-guided active-base-element-modeling …
computational burden. In this article, a knowledge-guided active-base-element-modeling …
A new meta-paradigm for the synthesis of antenna arrays for future wireless communications
An innovative meta-paradigm is introduced to design unconventional capacity-driven
antenna architectures for future multiuser communications. Toward this end, the problem of …
antenna architectures for future multiuser communications. Toward this end, the problem of …
Multiobjective beampattern optimization in collaborative beamforming via NSGA-II with selective distance
Collaborative beamforming is usually characterized by high, asymmetrical sidelobe levels
due to the randomness of node locations. Previous works have shown that the optimization …
due to the randomness of node locations. Previous works have shown that the optimization …
Fast multi-objective optimization of antenna structures by means of data-driven surrogates and dimensionality reduction
Design of contemporary antenna structures needs to account for several and often
conflicting objectives. These are pertinent to both electrical and field properties of the …
conflicting objectives. These are pertinent to both electrical and field properties of the …
A dynamic surrogate-assisted evolutionary algorithm framework for expensive structural optimization
M Yu, X Li, J Liang - Structural and Multidisciplinary Optimization, 2020 - Springer
In the expensive structural optimization, the data-driven surrogate model has been proven to
be an effective alternative to physical simulation (or experiment). However, the static …
be an effective alternative to physical simulation (or experiment). However, the static …
Evolutionary algorithms applied to antennas and propagation: A review of state of the art
A review of evolutionary algorithms (EAs) with applications to antenna and propagation
problems is presented. EAs have emerged as viable candidates for global optimization …
problems is presented. EAs have emerged as viable candidates for global optimization …