among the several non-conventional processes, electrical discharge machining (edm) is the most widely and successfully applied for the machining of conductive parts. in this technique, the tool has no mechanical contact with the work piece and also the hardness of work piece has no effect on the machining pace. hence, this technique could be employed to machine hard materials such as super allo...

In this paper, we present a genetic algorithm (GA) for optimization of a multi-mode resource constrained time cost trade off (MRCTCT) problem. The proposed GA, each activity has several operational modes and each mode identifies a possible executive time and cost of the activity. Beyond earlier studies on time-cost trade-off problem, in MRCTCT problem, resource requirements of each execution mo...

This paper solved the unrelated parallel machine scheduling with additional resources (UPMR) problem. The processing time and number of required for each job rely on that does processing. Each j needed units (rjm) during its a m. These are limited, this made UPMR difficult problem to solve. In study, maximum completion jobs makespan must be minimized. Here, we proposed genetic algorithm solve b...

in today's globalization, an effective integration of production and distribution plans into a unified framework is crucial for attaining competitive advantage. this paper addresses an integrated multi-product and multi-time period production/distribution planning problem for a two-echelon supply chain subject to the real-world variables and constraints. it is assumed that all transportations a...

Although many mathematicians have searched on the fractional calculus since many years ago, but its application in engineering, especially in modeling and control, does not have many antecedents. Since there are much freedom in choosing the order of differentiator and integrator in fractional calculus, it is possible to model the physical systems accurately. This paper deals with time-domain id...

Genetic Algorithm-based Quadratic Decision Tree (GA-based QDT) has been applied successfully in various classification problems with non-linear class boundaries. However, the execution time of GA-based QDT is quite long. In this paper, a new version of GA-based QDT, called Genetic Algorithm-based Quadratic Decision Tree with k-D Tree (GA-based QDT with k-D Tree), is proposed. In the proposed al...

Assembly job shop problem (AJSP) is an extension of classical job shop problem (JSP). AJSP first starts with a JSP and appends an assembly stage after job completion. Lot Streaming (LS) technique is defined as the process of splitting lots into sub-lots such that successive operation can be overlapped. In this paper, the previous study of LS to AJSP will be extended by introducing resource cons...

With the trend of terminal automation and requirement for port operation efficiency to be greatly improved, it is very necessary optimize traveling route automatic guided vehicles (AGV) with reference connection loading unloading equipment. As a complex multi-equipment system, inevitable that AGV will collide when due various accidents in actual operation, which lead locking reduce operation. C...

Remote sensing and crop growth models have enhanced our ability to understand soil water balance in irrigated agriculture. However, limited efforts have been made to adopt data assimilation methodologies in these linked models that use stochastic parameter estimation with genetic algorithm (GA) to improve irrigation scheduling. In this study, an innovative irrigation scheduling technique, based...