@prefix envthes: <http://vocabs.lter-europe.net/EnvThes/> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .

envthes:
  skos:prefLabel "EnvThes"@en ;
  a skos:ConceptScheme .

envthes:20151
  skos:prefLabel "ant colony optimization"@en ;
  a skos:Concept .

envthes:1
  skos:prefLabel "deprecated concept"@en ;
  a skos:Concept .

envthes:msa0049
  dc:creator <https://orcid.org/0000-0003-2195-3997> ;
  skos:prefLabel "ant colony optimization"@en ;
  owl:deprecated true ;
  skos:broader envthes:1 ;
  skos:definition "[Vittorio Maniezzo] Ant Colony Optimization (ACO) is a class of metaheuristic algorithms sharing the common approach of constructing a solution on the basis of information provided both by a standard constructive heuristic and by previously constructed solutions... , \"[Xiangpei Hu] The Ant Colony Optimization (ACO) is a recent meta-heuristic algorithm for solving hard combinatorial optimization problems. The algorithm, however, has the weaknesses of premature convergence and low search speed, which greatly hinder its application... , \"[Enrique Alba] The Ant Colony Optimization (ACO) metaheuristic is a bio-inspired approach for hard combinatorial optimization problems for stationary and non-stationary environments. In the ACO metaheuristic, a colony of artificial ants cooperate for finding high quality solutions in a reasonable time. An interesting example of a non-stationary combinatorial optimization problem is the Multiple Elevators Problem (MEP) which consists in finding a sequence of movements for each elevator to perform in a building so that to minimize, for instance, the users waiting average time... , \"[K. Thangavel] Ant Colony Optimization (ACO) metaheuristic is a recent population-based approach inspired by the observation of real ants colony and based upon their collective foraging behavior... , \"[Chia Jim Tong] Ant Colony Optimization (ACO) is a paradigm that employs a set of cooperating agents to solve functions or obtain good so lutions for combinatorial optimization problems..."@en ;
  skos:scopeNote "MS Academic Keywords"@en ;
  skos:altLabel "ACO"@en, "ant colonies optimization"@en, "ant colony optimizations"@en, "ant colony optimizer"@en, "ant colony optimizers"@en, "ants colony optimization"@en ;
  dc:isReplacedBy envthes:20151 ;
  skos:note "Unclear"@en ;
  a skos:Concept ;
  skos:inScheme envthes: .