Advanced search ?

Object

Download

Title: Comparative Study of PSO and CMA-ES Algorithms on Black-box Optimization Benchmarks, Journal of Telecommunications and Information Technology, 2018, nr 4

Creator:

Szynkiewicz, Paweł

Date:

2018, nr 4

Resource Type:

artykuł

Description:

Numerous practical engineering applications can be formulated as non-convex, non-smooth, multi-modal and ill-conditioned optimization problems. Classical, deterministic algorithms require an enormous computational effort, which tends to fail as the problem size and its complexity increase, which is often the case. On the other hand, stochastic, biologically-inspired techniques, designed for global optimum calculation, frequently prove successful when applied to real life computational problems. While the area of bio-inspired algorithms (BIAs) is still relatively young, it is undergoing continuous, rapid development. Selection and tuning of the appropriate optimization solver for a particular task can be challenging and requires expert knowledge of the methods to be considered. Comparing the performance of viable candidates against a defined test bed environment can help in solving such dilemmas. This paper presents the benchmark results of two biologically inspired algorithms: covariance matrix adaptation evolution strategy (CMA-ES) and two variants of particle swarm optimization (PSO). COCO (COmparing Continuous Optimizers) – a platform for systematic and sound comparisons of real-parameter global optimization solvers was used to evaluate the performance of CMA-ES and PSO methods. Particular attention was paid to the efficiency and scalability of both techniques.

Publisher:

National Institute of Telecommunications

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2053

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

stochastic optimization global optimization black-box optimization benchmarking CMA-ES PSO

Object collections:

Last modified:

Apr 15, 2019

In our library since:

Feb 4, 2019

Number of object content hits:

86

All available object's versions:

https://bc.itl.waw.pl/publication/2340

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

Edition name Date
Szynkiewicz, Paweł, Comparative Study of PSO and CMA-ES Algorithms on Black-box Optimization Benchmarks, Journal of Telecommunications and Information Technology, 2018, nr 4 Apr 15, 2019

Objects Similar
Benchmarking Procedures for Continuous Optimization Algorithms, Journal of Telecommunications and Information Technology, 2011, nr 4

Arabas, Jarosław Opara, Karol

2011, nr 4
artykuł
Gradient-Based Algorithms in the Brachistochrone Problem Having a Black-Box Represented Mathematical Model , Journal of Telecommunications and Information Technology, 2014, nr 1

Dębski, Roman

2014, nr 1
artykuł
Evolutionary Computation for Global Optimization – Current Trends, Journal of Telecommunications and Information Technology, 2011, nr 4

Arabas, Jarosław

2011, nr 4
artykuł
Agent-based Optimization of Advisory Strategy Parameters, Journal of Telecommunications and Information Technology, 2013, nr 2

Byrski, Aleksander Polnik, Mateusz Kumięga, Mateusz

2013, nr 2
artykuł
Performance Tests of Xen-based Node for Future Internet IIP Initiative, Journal of Telecommunications and Information Technology, 2013, nr 3

Wajda, Krzysztof Rzym, Grzegorz

2013, nr 3
artykuł
A Software Platform for Global Optimization, Journal of Telecommunications and Information Technology, 2010, nr 3

Niewiadomska-Szynkiewicz, Ewa Marks, Michał

2010, nr 3
artykuł
Multiobjective Approachto Localization in Wireless Sensor Networks, Journal of Telecommunications and Information Technology, 2009, nr 3

Niewiadomska-Szynkiewicz, Ewa Marks, Michał

2009, nr 3
artykuł
2023, nr 3, JTIT-artykuły
2023, nr 3, JTIT-artykuły
Design and Analysis of a Low-profile Microstrip Antenna for 5G Applications using AI-based PSO Approach, Journal of Telecommunications and Information Technology, 2023, nr 3

Bhattacharya, Ankan Mohammed, Firdous Hussain Pathak, Narendra Nath Kundu, Krishanu

2023, nr 3
artykuł
More
×

Citation

Citation style:

Contact details

Address

Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

Visit us!

This page uses 'cookies'. More information