Deep learning (DL) in remote sensing has nowadays become an effective operative tool: it is largely used applications, such as change detection, image restoration, segmentation, and classification. With reference to the synthetic aperture radar (SAR) domain, application of DL techniques not straightforward due nontrivial interpretation SAR images, especially caused by presence speckle. Several ...

this paper aims to investigate the integrated production/distribution and inventory planning for perishable products with fixed life time in the constant condition of storage throughout a two-echelon supply chain by integrating producers and distributors. this problem arises from real environment in which multi-plant with multi-function lines produce multi-perishable products with fixed life ti...

this paper proposes the exchange market algorithm (ema) to solve the combined economic and emission dispatch (ceed) problems in thermal power plants. the ema is a new, robust and efficient algorithm to exploit the global optimum point in optimization problems. existence of two seeking operators in ema provides a high ability in exploiting global optimum point. in order to show the capabilities ...

In this work, a new multi-objective optimization algorithm called learner performance-based behavior is proposed. The proposed based on the process of moving graduated students from high school to college. technique produces set non-dominated solutions. To test ability and efficacy algorithm, it applied group benchmarks five real-world engineering problems. Several widely used metrics are emplo...