This paper discusses the bookkeeping strategies for solving large multiple objective linear programs (MOLPs) on ADBASE, a well developed sequential software package, and on a parallel ADBASE algorithm. Three representative list creation schemes were rst analyzed and tested. The best of them, Binary Search with Insertion Sort (BSIS), was selected to be incorporated into ADBASE and the parallel A...

land use optimization is one of the appropriate methods for soil conservation programs that allow watershed managers and decision makers to choose the best land use practices. with the objective of optimizing land use to minimize soil erosion, the present research was conducted in one of the taleghan sub-basins in iran, namely, orazan sub-basin, with an area of 2,706 ha. to achieve the objectiv...

Abstract. This paper looks at the task of computing efficient extreme points in multiple objective linear programruing. Vector maximization software is reviewed and the ADBASE solver for computing all efficient extreme points of a multiple objective linear program is described. To create MOLP test problems, models for random problem generation are discussed. In the computational part of the pap...

Off-line recognition of text plays a significant role in several applications, such as cheque verification and mail sorting. However, the selection of the technique for feature extraction remains a big challenging step for achieving high recognition accuracy. This paper presents an efficient handwritten digit recognition system based on HOG to capture the discriminative features of digit image....

land use optimization is one of the suitable methods for soil conservation. the present research with objective of land use optimization for soil erosion minimization and pure income maximization was conducted in the part of taleghan watershed which comprises 80427.23 ha in area. to achieve this propose, area, erosion rate and net income value of each land uses according to requiring standards ...

The traditional algorithms for recognizing handwritten alphanumeric characters are dependent on hand-designed features. In recent days, deep learning techniques have brought about new breakthrough technology for pattern recognition applications, especially for handwritten recognition. However, deeper networks are needed to deliver state-of-the-art results in this area. In this paper, inspired b...