https://openalex.org/T12709
This cluster of papers focuses on the optimization of multi-objective transportation problems, particularly in the context of supply chain management and aggregate production planning. It explores the application of fuzzy goal programming, genetic algorithms, and metaheuristic approaches to address challenges such as fixed charge transportation, sustainable development, and uncertainty in decision-making. The research also delves into techniques like linear fractional programming and intuitionistic fuzzy logic to enhance the efficiency and robustness of transportation problem solutions.
@prefix oasubfields: <https://openalex.org/subfields/> .
@prefix openalex: <https://lambdamusic.github.io/openalex-hacks/ontology/> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
<https://openalex.org/T12709> a skos:Concept ;
rdfs:label "Multi-Objective Transportation Problem Optimization"@en ;
rdfs:isDefinedBy openalex: ;
owl:sameAs <https://en.wikipedia.org/wiki/Multi-objective_optimization>,
<https://openalex.org/T12709> ;
skos:broader oasubfields:2207 ;
skos:definition "This cluster of papers focuses on the optimization of multi-objective transportation problems, particularly in the context of supply chain management and aggregate production planning. It explores the application of fuzzy goal programming, genetic algorithms, and metaheuristic approaches to address challenges such as fixed charge transportation, sustainable development, and uncertainty in decision-making. The research also delves into techniques like linear fractional programming and intuitionistic fuzzy logic to enhance the efficiency and robustness of transportation problem solutions."@en ;
skos:inScheme openalex: ;
skos:prefLabel "Multi-Objective Transportation Problem Optimization"@en ;
openalex:cited_by_count 383311 ;
openalex:works_count 21682 .