Parallelized A Posteriori Multiobjective Optimization in RF Design

Author:

Míchal Jan1,Dobeš Josef1

Affiliation:

1. Department of Radioelectronics, Czech Technical University in Prague, Technická 2, 16627 Praha, Czech Republic

Abstract

A posteriori multiobjective optimization relies on a series of mutually independent single-objective optimization subproblems, which can be run in parallel, thus making full use of a multiprocessor (or multicore) computer. This paper presents a parallel process launching scheme, such that practically no computing capacity gets wasted. This is achieved using standard Windows API kernel objects for process synchronization of the semaphore and mutex types. The algorithm used was further modified to inherently generate the desired Pareto front in the convenient form of a contour plot.

Funder

Czech Science Foundation

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference33 articles.

1. Constrained Multi-Objective Optimization with a Limited Budget of Function Evaluations;Bronkhorst;Memetic Comput.,2022

2. Akhtar, T., and Shoemaker, C.A. (2019). Efficient multi-objective optimization through population-based parallel surrogate search. arXiv.

3. An Efficient Batch-Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multiobjective Acquisition Ensemble;Zhang;IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.,2021

4. Lyu, W., Yang, F., Yan, C., Zhou, D., and Zeng, X. (2018, January 10–15). Batch Bayesian optimization via multi-objective acquisition ensemble for automated analog circuit design. Proceedings of the International Conference on Machine Learning, Stockholm, Sweden.

5. Deb, K., and Sundar, J. (2006, January 8–12). Reference point based multi-objective optimization using evolutionary algorithms. Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation, New York, NY, USA.

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