The performance of artificial neural networks (ANNs) is highly influenced by the selection input variables and architecture defined hyper parameters such as number neurons in hidden layer connections between network variables. Although there are some black-box trial error based studies literature to deal with these issues, it fair state that a rigorous systematic method providing global unique ...

Karma tam sayılı doğrusal olmayan programlama (MINLP), enerji şebekelerinin optimum tasarımı ve uzun ya da kısa vadeli üretim planlarının oluşturulması için kullanılabilecek bir optimizasyon yöntemidir. Literatürdeki pek çok yayın, olan karma metotlarını kullanırken, önemli detayları bünyesinde bulundurabilen MINLP, çözümünün daha zor olmasından dolayı tercih edilmemiştir. Ancak, detaylı güveni...

Catastrophic oil spills [1], such as the recent Deepwater BP oil spill in the Gulf of Mexico [2], have demonstrated the importance of developing responsive and effective oil spill response planning strategies for the oil industry and the government. Although a few models have been developed for oil-spill response planning, response operations and the oil weathering process are usually considere...

In this paper, we study the partitioning of constraints in temporal planning problems formulated as mixed-integer nonlinear programming (MINLP) problems. Constraint partitioning is attractive because it leads to much easier subproblems, where each is a significant relaxation of the original problem. Moreover, each subproblem is very similar to the original problem and can be solved by any exist...

this paper presents a formulation of unit commitment for thermal units integrated with wind and solar energy systems and electrical vehicles with emphasizing on mixed integer nonlinear programming (minlp). the renewable energy resources are included in this model due to their low electricity cost and positive effect on environment. as well as, coordinated charging strategy of electrical vehicle...

this paper addresses a reliable facility location problem with considering facility capacity constraints. in reliable facility location problem some facilities may become unavailable from time to time. if a facility fails, its clients should refer to other facilities by paying the cost of retransfer to these facilities. hence, the fail of facilities leads to disruptions in facility location dec...

This paper first describes an empirical model to characterize the deactivation of a catalyst used in the production of a specialty chemical based on actual plant data. This model is then used in a novel multiperiod MINLP optimization formulation that incorporates the empirical model in order to determine the optimal catalyst replacement policy and meet time varying product demand.

This paper presents an Equality Relaxation variant to the Outer-Approximation algorithm for solving mixed-integer nonlinear programming (MINLP) problems that arise in structural optimization of process flowsheets. The proposed algorithm has the important capability of being able to explicitly handle nonlinear equations within MINLP formulations that have linear integer variables and linear/nonl...