Clan-based evolutionary approach for solving control problems
type: Item
instance of: scholarly article
title: Clan-based evolutionary approach for solving control problems
zbMATH Open document ID: 0848.65053
DOI: 10.1016/0898-1221(96)00005-3
author: G. Phanendra Babu
author: M. Narasimha Murty
author: B. R. Ram
publication date: 1996-09-12T00:00:00Z
review text: An evolutionary approach for solving optimal control problems, based on a clan and subclan model of natural evolution, is proposed. In this approach, the genealogy information is used in the process of search for an optimal solution. Three selected optimal control problems (linear quadratic, harvest and push-cart problems) are described and solved using the proposed approach. The corresponding numerical results are presented and compared with those obtained by evolutionary programming methods.
Mathematics Subject Classification ID: 65K10
Mathematics Subject Classification ID: 49M37
Mathematics Subject Classification ID: 49J20
zbMATH DE Number: 878532
zbMATH Keywords: linear quadratic problem
zbMATH Keywords: harvest problem
zbMATH Keywords: optimal control problems
zbMATH Keywords: push-cart problems
zbMATH Keywords: numerical results
zbMATH Keywords: evolutionary programming methods
reviewed by: Mikhail Krastanov
MaRDI profile type: Publication
full work available at URL: 0898-1221(96)00005-3
OpenAlex ID: W2073551326
cites work: Q3241581
cites work: A modified genetic algorithm for optimal control problems
cites work: Applying evolutionary programming to selected control problems
cites work: Q4079017
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cites work: Q3897937
cites work: Clustering in non-stationary environments using a clan-based evolutionary approach
published in: Computers & Mathematics with Applications
description: scientific article; zbMATH DE number 878532