A biologically inspired optimization algorithm for solving fuzzy shortest path problems with mixed fuzzy arc lengths
type: Item
instance of: scholarly article
title: A biologically inspired optimization algorithm for solving fuzzy shortest path problems with mixed fuzzy arc lengths
zbMATH Open document ID: 1305.65157
author: Xiaoge Zhang
author: Andrew Adamatzky
author: Felix T. S. Chan
author: Sankaran Mahadevan
author: Yong Deng
author: Qing Wang
published in: Journal of Optimization Theory and Applications
publication date: 2014-12-12T00:00:00Z
Mathematics Subject Classification ID: 65K05
Mathematics Subject Classification ID: 90C35
zbMATH DE Number: 6379742
zbMATH Keywords: shortest path
zbMATH Keywords: fuzzy numbers
zbMATH Keywords: bio-inspired
zbMATH Keywords: network optimization
zbMATH Keywords: algorithm
zbMATH Keywords: numerical example
MaRDI profile type: Publication
full work available at URL: s10957-014-0542-6
OpenAlex ID: W2112470311
Wikidata QID: Q57852687
cites work: Optimising waiting at nodes in time-dependent networks: cost functions and applications
cites work: Reliability analysis of a warm standby repairable system with priority in use
cites work: Solving 0-1 knapsack problems based on amoeboid organism algorithm
cites work: Fuzzy sets and systems. Theory and applications
cites work: A fuzzy shortest path with the highest reliability
cites work: A genetic algorithm for solving fuzzy shortest path problems with mixed fuzzy arc lengths
cites work: The shortest path problem on networks with fuzzy parameters
cites work: Applying fuzzy GERT with approximate fuzzy arithmetic based on the weakest t-norm operations to evaluate repairable reliability
cites work: A mathematical model for adaptive transport network in path finding by true slime mold
DOI: 10.1007/S10957-014-0542-6
description: scientific article; zbMATH DE number 6379742