A firefly dynamic penalty approach for solving engineering design problems

Firefly Algorithm is a recent swarm intelligence method, inspired by the social behavior of fireflies, based on their flashing and attraction characteristics [1, 2]. In this paper, we analyze the implementation of a dynamic penalty approach combined with the Firefly algorithm for solving constrained...

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Bibliographic Details
Main Author: Francisco, Rogério Brochado (author)
Other Authors: Costa, M. Fernanda P. (author), Rocha, Ana Maria A. C. (author)
Format: conferencePaper
Language:eng
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/1822/39475
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/39475
Description
Summary:Firefly Algorithm is a recent swarm intelligence method, inspired by the social behavior of fireflies, based on their flashing and attraction characteristics [1, 2]. In this paper, we analyze the implementation of a dynamic penalty approach combined with the Firefly algorithm for solving constrained global optimization problems. In order to assess the applicability and performance of the proposed method, some benchmark problems from engineering design optimization are considered.