This paper addresses the open shop scheduling problem. this problem, due to its complexity, is ranked in the class of NPhard problems. In this case, traditional approaches cannot reach to an optimal solution in a reasonable time. So heuristic algorithms such as simulated Annealing (SA), tabu search (TS) genetic algorithm, (GA), ant colony optimization (ACO) used to solve optimization problems s...

In this paper we present the on-going grammar engineering project in our group for developing in parallel resource precision grammars for Slavic languages. The project utilizes DELPH-IN software (LKB/[incr tsdb()]) as the grammar development platform, and has strong affinity to the LinGO Grammar Matrix project. It is innovative in that we focus on a closed set of related but extremely diverse l...

Wireless mobile sensor networks are enlarging the Internet of Things (IoT) portfolio with a huge number of multimedia services for smart cities. Safety and environmental monitoring multimedia applications will be part of the Smart IoT systems, which aim to reduce emergency response time, while also predicting hazardous events. In these mobile and dynamic (possible disaster) scenarios, opportuni...

A major obstacle in the development of computer visionbased interfaces is the uncertainty in the image data. Guaranteeing reliable program behavior while the inputs cannot be relied upon to take any specific values is desirable but extremely challenging. We have experimented with various strategies for addressing this problem in a controlled environment and have identified some that we find pro...

Set covering problem is a classical problem in computer science and complexity theory. It has many applications, such as airline crew scheduling problem, facilities location problem, vehicle routing, assignment problem, etc. In this paper, three different techniques are applied to solve set covering problem. Firstly, a mathematical model of set covering problem is introduced and solved by using...

Aggregate production planning (APP) determines the optimal production plan for the medium term planning horizon. The purpose of the APP is effective utilization of existing capacities through facing the fluctuations in demand. Recently, fuzzy approaches have been applied for APP focusing on vague nature of cost parameters. Considering the importance of coping with customer demand in different p...

Abstract The distribution/allocation problem is known as one of the most comprehensive strategic decision. In real-world cases, it impossible to solve a in traditional ways with acceptable time. Hence researchers develop efficient non-traditional techniques for large-term operation whole supply chain. These provide near optimal solutions particularly large-scale test problems. This paper presen...

recently, design of cropping pattern based on water resources is getting a high priority. this scheme is complicated, and affected by multiple factors. for investigation, designer must gather a huge data, and classify them. the method of processing and analyzing of the information is important. the method of linear programming based on lingo software for hendijan irrigation and drainage network...

Data Envelopment Analysis (DEA) was developed to help compare the relative performance of decision-making units. It is a non-parametric method for performing frontier analysis. It uses linear programming to estimate the efficiency of multiple decision-making units and it is commonly used in production, management and economics [3]. DEA generates an efficiency score between 0 and 1 for each unit...