background: irreversible electroporation (ire) is a novel tumor ablation technique. ire is associated with high electrical fields and is often reported in conjunction with thermal damage caused by joule heating. for good response to surgery it is crucial to produce minimum thermal damage in both tumoral and healthy tissues named non-thermal irreversible electroporation(ntire). non-thermal irrev...

Machine learning is the discipline of commands in computer machine to predict and expect results real application currently most promising simulation artificial intelligence. This paper aims at using different algorithms calculate compressive strength extrusion 3DP concrete (cement mortar). The investigation carried out multi-objective grasshopper optimization algorithm (MOGOA) neural network (...

many studies are performed by researchers about shell and tube heat exchanger but the multi-objective big bang-big crunch algorithm (mobba) technique has never been used in such studies. this paper presents application of thermal-economic multi-objective optimization of shell and tube heat exchanger using mobba. for optimal design of a shell and tube heat exchanger, it was first thermally model...

With the increasing rate of population in big cities around world, tendency to build new buildings suburb main or large apartments has been highlighted. In this regard, building residential complexes seen a dramatic increase these areas as it makes possible number units within reasonable space. Although have brought numerous benefits, they are some challenges regarding their construction proces...

The purpose of this paper is multi-objective optimization of refrigeration cycle by optimization of all components of the cycle contains heat exchangers, air condenser, evaporator and super-heater. Studied refrigeration cycle is compression refrigeration cycle of unit 132 Third refineries in south pars that provide chilled water for cooling refinery equipment's. Cycle will be performed by t...

Inventory management requires thousands or millions of individual transactions each year. Classification the items influences results inventory management. Traditionally, this is usually classified with considering an annual dollar usage criterion but maybe other criteria such as lead time, criticality, perishability, cost, and demand type can be affected on that classification. have more than ...

In this contribution, a novel methodology for multi-class classification in the field of Parkinson’s disease is proposed. The structured two phases. first phase, most relevant volumes interest (VOI) brain are selected by means an evolutionary multi-objective optimization (MOE) algorithm. Each these VOIs subjected to volumetric feature extraction using Three-Dimensional Discrete Wavelet Transfor...

The purpose of this paper is multi-objective optimization of refrigeration cycle by optimization of all components of the cycle contains heat exchangers, air condenser, evaporator and super-heater. Studied refrigeration cycle is compression refrigeration cycle of unit 132 Third refineries in south pars that provide chilled water for cooling refinery equipment's. Cycle will be performed by t...

Data clustering is one of the most important areas of research in data mining and knowledge discovery. Recent research in this area has shown that the best clustering results can be achieved using multi-objective methods. In other words, assuming more than one criterion as objective functions for clustering data can measurably increase the quality of clustering. In this study, a model with two ...

to use services transparently in a distributed environment, the utility grids develop a cyber-infrastructure. the parameters of the quality of service such as the allocation-cost and makespan have to be dealt with in order to schedule workflow application tasks in the utility grids. optimization of both target parameters above is a challenge in a distributed environment and may conflict one ano...