Documents disponibles écrits par cet auteur

The cascade optimization algorithm / Antonis C. Kokossis in Industrial & engineering chemistry research, Vol. 50 N° 9 (Mai 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 9 (Mai 2011) . - pp. 5266-5278 Titre : The cascade optimization algorithm : a new distributed approach for the stochastic optimization of engineering applications Type de document : texte imprimé Auteurs : Antonis C. Kokossis, Auteur ; Patrick Linke, Auteur ; Siyu Yang, Auteur Année de publication : 2011 Article en page(s) : pp. 5266-5278 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Algorithm  Optimization Résumé : This paper introduces a new stochastic optimization approach in the form of a cascade optimization algorithm. The algorithm incorporates concepts from Markov processes while eliminating the inherent sequential nature that is a major obstacle preventing the exploitation of advances in distributed computing infrastructures. This method introduces partitions and pools to store intermediate solutions and corresponding objectives. A Markov process increases the population of partitions and pools. The population is distributed periodically, following an external certainty. With the use of partitions and pools, multiple Markov processes can be launched simultaneously for different partitions and pools. The cascade optimization algorithm holds a potential in two different fronts. One aims at its deployment in parallel and distributed computing environments. Through storage of solutions in the pools, the algorithm further offers cost-effective means to analyze intermediate solutions, visualize progress, and integrate optimization with data and/or knowledge management techniques without additional burden to the process. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24128649 [article] The cascade optimization algorithm : a new distributed approach for the stochastic optimization of engineering applications [texte imprimé] / Antonis C. Kokossis, Auteur ; Patrick Linke, Auteur ; Siyu Yang, Auteur . - 2011 . - pp. 5266-5278. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 9 (Mai 2011) . - pp. 5266-5278 Mots-clés : Algorithm  Optimization Résumé : This paper introduces a new stochastic optimization approach in the form of a cascade optimization algorithm. The algorithm incorporates concepts from Markov processes while eliminating the inherent sequential nature that is a major obstacle preventing the exploitation of advances in distributed computing infrastructures. This method introduces partitions and pools to store intermediate solutions and corresponding objectives. A Markov process increases the population of partitions and pools. The population is distributed periodically, following an external certainty. With the use of partitions and pools, multiple Markov processes can be launched simultaneously for different partitions and pools. The cascade optimization algorithm holds a potential in two different fronts. One aims at its deployment in parallel and distributed computing environments. Through storage of solutions in the pools, the algorithm further offers cost-effective means to analyze intermediate solutions, visualize progress, and integrate optimization with data and/or knowledge management techniques without additional burden to the process. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24128649