Theoretical and practical convergence of a self-adaptive penalty algorithm for constrained global optimization
type: Item
instance of: scholarly article
title: Theoretical and practical convergence of a self-adaptive penalty algorithm for constrained global optimization
zbMATH Open document ID: 1373.90145
author: M. Fernanda P. Costa
author: Rogério B. Francisco
author: Ana Maria A. C. Rocha
author: Edite M. G. P. Fernandes
published in: Journal of Optimization Theory and Applications
publication date: 2017-10-27T00:00:00Z
full work available at URL: http://hdl.handle.net/1822/49143
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 90C26
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 6800888
zbMATH Keywords: global optimization
zbMATH Keywords: self-adaptive penalty
zbMATH Keywords: firefly algorithm
Wikidata QID: Q57573476
describes a project that uses: ABC
MaRDI profile type: Publication
OpenAlex ID: W2561502796
cites work: Extensions of SUMT for Nonlinear Programming: Equality Constraints and Extrapolation
cites work: A penalty function-based differential evolution algorithm for constrained global optimization
cites work: An adaptive constraint handling technique for differential evolution with dynamic use of variants in engineering optimization
cites work: Memetic particle swarm optimization
cites work: Firefly Algorithms for Multimodal Optimization
cites work: Self-adaptive step firefly algorithm
cites work: An approach to constrained global optimization based on exact penalty functions
cites work: A non-homogeneous firefly algorithm and its convergence analysis
cites work: Heuristic-based firefly algorithm for bound constrained nonlinear binary optimization
cites work: Firefly penalty-based algorithm for bound constrained mixed-integer nonlinear programming
cites work: Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
cites work: Improved particle swarm algorithms for global optimization
cites work: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
cites work: Global minimization using an augmented Lagrangian method with variable lower-level constraints
cites work: An artificial fish swarm algorithm based hyperbolic augmented Lagrangian method
DBLP publication ID: journals/jota/CostaFRF17
DOI: 10.1007/S10957-016-1042-7
description: scientific article; zbMATH DE number 6800888