fuzzy linear programming problem occur in many elds such as mathematical modeling, control theory and management sciences, etc. in this paper we focus on a kind of linear programming with fuzzy numbers and variables namely fully fuzzy linear programming (fflp) problem, in which the constraints are in inequality forms. then a new method is proposed to ne the fuzzy solution for solving (fflp). ...

using the mathematic techniques such as fuzzy approach has useful outcomes for production planning in different sources. in this paper lgp1 was used to model the objectives such as: avoidance of shortage or surplus of demand, access to maximum of income, using the normal capacity of production and organizing the inventory of warehouse, within the framework of goal constraints like balancing be...

In the fields of researches associated with plant layout optimization, the main goal is to minimize the costs of pipelines and pumping between connecting equipment under various constraints. However, what is the lacking of considerations in previous researches is to transform various heuristics or safety regulations into mathematical equations. For example, proper safety distances between equip...

This paper presents a formulation of unit commitment for thermal units integrated with wind and solar energy systems and electrical vehicles with emphasizing on Mixed Integer Nonlinear Programming (MINLP). The renewable energy resources are included in this model due to their low electricity cost and positive effect on environment. As well as, coordinated charging strategy of electrical vehicle...

As decentralized energy supply units, microgrids can make a decisive contribution to achieving climate targets. In this context, it is particularly important determine the optimal size of components contained in and their operating schedule. Hence, mathematical optimization methods are often used association with such tasks. particular, mixed-integer linear programming (MILP) has proven be usef...

This paper addresses a reliable facility location problem with considering facility capacity constraints. In reliable facility location problem some facilities may become unavailable from time to time. If a facility fails, its clients should refer to other facilities by paying the cost of retransfer to these facilities. Hence, the fail of facilities leads to disruptions in facility location dec...

This paper presents a comparative study on the implementation of incentive-based demand response programs in power grid management, comparing results obtained from linear and nonlinear models. The challenges faced by grids balancing supply managing price spikes during peak periods are addressed, proposed as an effective strategy. focus is implementing where load serving entities determine optim...

The problem of the optimal placement and dimensioning constant power sources (i.e., distributed generators) in electrical direct current (DC) distribution networks has been addressed this research from point view convex optimization. original mixed-integer nonlinear programming (MINLP) model transformed into a conic equivalent via second-order cone programming, which produces MI-SOCP approximat...

Catastrophic oil spills [1], such as the recent Deepwater BP oil spill in the Gulf of Mexico [2], have demonstrated the importance of developing responsive and effective oil spill response planning strategies for the oil industry and the government. Although a few models have been developed for oil-spill response planning, response operations and the oil weathering process are usually considere...

Employment of unmanned aerial vehicles (UAVs) or drones as swarms coordinating nodes offers multiple advantages for commercial well military applications. However, the complex communication requirements these swarms, coupled with high data rates advanced UAV payloads, require innovative techniques optimizing throughput. Channel capacity being key resource, optimum architecture and network topol...