With the rapid development of the internet, the amount of information and data which are produced, are extremely massive. Hence, client will be confused with huge amount of data, and it is difficult to understand which ones are useful. Data mining can overcome this problem. While data mining is using on cloud computing, it is reducing time of processing, energy usage and costs. As the speed of ...

The use of evolutionary algorithms (EAs) to solve problems with multiple objectives (known as Multi-objective Optimization Problems (MOPs)) has attracted much attention recently. Being population based approaches, EAs offer a means to find a group of pareto-optimal solutions in a single run. Differential Evolution (DE) is an EA that was developed to handle optimization problems over continuous ...

Many engineering design problems can be formulated as optimization problems with constraints. In this paper we have proposed two modified variants of differential evolution (DE) for solving constrained engineering design problems. Paretoranking method is used to handle constrained with proposed approaches. The proposed variants named EDE-1 and EDE-2 are tested on 4 engineering design optimizati...

Integrated treatment planning for cancer patients has high importance in intensity modulated radiation therapy (IMRT). Direct aperture optimization (DAO) is one of the prominent approaches used in recent years to attain this goal. Considering a set of beam directions, DAO is an integrated approach to optimize the intensity and leaf position of apertures in each direction. In this paper, first, ...

the allocation of human resources to project activities in order to schedule them is one of the closest states to the actual conditions of scheduling problems. but regarding the fact that this problem belongs to the class of np-hard problems; so far the exact methods have only been able to solve the small size problems. in this study, the renewable resources are humans in a way that every staff...