A simulation-based multi-objective genetic algorithm (SMOGA) procedure for BOT network design problem
type: Item
instance of: scholarly article
title: A simulation-based multi-objective genetic algorithm (SMOGA) procedure for BOT network design problem
zbMATH Open document ID: 1138.90466
author: Anthony Chen
author: Kitti Subprasom
author: Zhaowang Ji
published in: Optimization and Engineering
publication date: 2007-01-24T00:00:00Z
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 90C39
Mathematics Subject Classification ID: 90B10
zbMATH DE Number: 5118175
zbMATH Keywords: network design problem
zbMATH Keywords: multiple objectives
zbMATH Keywords: demand uncertainty
zbMATH Keywords: simulation
zbMATH Keywords: genetic algorithm
describes a project that uses: SITATION
describes a project that uses: MOD-DIST
describes a project that uses: MENU-OKF
MaRDI profile type: Publication
full work available at URL: s11081-006-9970-y
OpenAlex ID: W2086327465
cites work: Q4857376
cites work: Multi-objective optimization using evolutionary algorithms
cites work: A Simulated Annealing Approach to the Network Design Problem with Variational Inequality Constraints
cites work: Handbook of metaheuristics
cites work: Q4692508
cites work: Q4079017
DOI: 10.1007/S11081-006-9970-Y
description: scientific article; zbMATH DE number 5118175