Constrained Nonlinear programming problems are hard problems, and one of the most widely used and common problems for production planning problem to optimize. In this study, one of the mathematical models of production planning is survey and the problem solved by cuckoo algorithm. Cuckoo Algorithm is efficient method to solve continues non linear problem. Moreover, mentioned models of productio...

In a highly competitive scenario, suppliers play a vital role in making a business organization successful. Business of any organization is continuous process and therefore the supplier selection is also dynamic in nature. This is quite natural as the organization’s demand; supplier’s capacity, quality level, lead time, unit part cost and fixed transportation cost of supplier varies with time. ...

The supply chain of agricultural products has received a great deal of attention lately due to issues related to public health. Something that has become apparent is that in the near future the design and operation of agricultural supply chains will be subject to more stringent regulations and closer monitoring, in particular those for products destined for human consumption (agri-foods). This ...

To achieve the highest customer satisfaction at the lowest costs, GE Plastics adopted a global approach to its manufacturing operations. Previously it met demand in one geographic region with production from that region only. It developed a decision-support system (DSS) to optimize the two-echelon global manufacturing supply chain for its high performance polymers division. The DSS uses a math-...

In order to improve tourist satisfaction and promote the coordinated development of tourism and urban, this paper investigates an urban transportation network problem for tourism via lane reservation strategy. The focus of the problem is to select some lanes from the existing transportation infrastructure and convert them to reserved lanes for tourism so that tourist satisfaction can be ensured...

Deep and shallow processing techniques have complementary strengths and weaknesses. There are various ways in which deep and shallow techniques can be combined in practical systems to take advantage of the strengths of each approach. In this paper, I argue for the advantages of using a semantic representation as the interface between various types of deep and shallow processing. I illustrate ho...

Many would agree that Michelangelo’s David or Monet’s Water Lilies is a masterpiece of beauty, compelling casual admirers and expert critics alike to gaze in awe. This implicitly Western conception of beauty has evolved historically and culturally along the path of Classical Platonism (i.e., ideal forms), Aristotelian metaphysics (i.e., imitation), and turn-of-the-century emphases on nature and...

Determining the specific mix of fire-fighting resources for a given fire is a necessary condition for identifying the minimum of the Cost Plus Net Value Change (C+NVC) function. Current wildland fire management models may not reliably do so. The problem of identifying the most efficient wildland fire organization is characterized mathematically using integer-programming techniques. This mathema...

Assignment problem is a well-known topic and is used very often in solving problems of engineering and management science. In this problem denotes the cost for assigning the job to the person. This cost is usually deterministic in nature. In this paper has been considered to be triangular or trapezoidal fuzzy numbers denoted by ̃ which are more realistic and general in nature. A new ranking meth...

Mit Hilfe eines algorithmisch arbeitenden Verfahrens können fachterminologische Mehrwortgruppen aus elektronisch vorliegenden Texten identifiziert und extrahiert werden. Inhaltlicher Schwerpunkt stellt die Einbindung von Funktionswörtern des deutschen Sprachgebrauchs in den Extraktionsalgorithmus dar. Als Datengrundlage dieser Arbeit dienten kunsthistorische Lexikonartikel des Reallexikons zur ...