An evolutionary algorithm for global optimization based on self-organizing maps-Reference-Cited by-同舟云学术

An evolutionary algorithm for global optimization based on self-organizing maps

Published:2016-01-11 Issue:10 Volume:48 Page:1740-1758
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Barmada Sami¹,Raugi Marco¹,Tucci Mauro¹

Affiliation:

1. Department of Energy, Systems, Territory, and Construction Engineering, University of Pisa, Pisa, Italy

Funder

Ministero dell'Istruzione, dell'Università e della Ricerca

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2015.1128424

Reference16 articles.

1. Auger, A., and N. Hansen. 2005. “A Restart CMA Evolution Strategy with Increasing Population Size.” In Evolutionary Computation, IEEE International Conference on, 1769–1776.

2. Barmada, S., M. Raugi, and M. Tucci. 2012. “Global Optimization Algorithm Based on Self-Organizing Centroids.” In Evolutionary Computation (CEC), 2012 Congress on IEEE, 1–6.

3. Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization

4. On the use of self-organizing maps to accelerate vector quantization

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Design and Optimization of a Permanent Magnet-Based Spring–Damper System;Actuators;2023-07-18

2. Birds foraging search: a novel population-based algorithm for global optimization;Memetic Computing;2019-05-07

3. Optimal synthesis, design and operation of smart microgrids serving a cluster of buildings in a campus with centralized and decentralized hybrid renewable energy systems;SECOND INTERNATIONAL CONFERENCE ON MATERIAL SCIENCE, SMART STRUCTURES AND APPLICATIONS: ICMSS-2019;2019

4. Multi-Scale Quantum Harmonic Oscillator Algorithm With Centroid Motion for Global Numerical Optimization Problems;IEEE Access;2019

5. A novel hybrid combination optimization algorithm based on search area segmentation and fast Fourier transform;Engineering Optimization;2018-08-10