over the past few decades, several models such as the lp model have been used for managing watersheds and determining optimal cultivation pattern for agricultural planning. management and planning methods are the most important applied tools of management science for optimal allocating resources in order to gain the most profits in the different fields including natural resources, water resourc...

Abstract In this paper we consider a problem, called convex projection, of projecting set onto subspace. We will show that to projection one can assign particular multi-objective optimization such the solution problem also solves (and vice versa), which is analogous result in polyhedral case considered Löhne and Weißing (Math Methods Oper Res 84(2):411–426, 2016). practice, however, only comput...

The shape design of the Tubular Linear Synchronous Motor (TLSM) is a critical engineeri ng optimization problem which was handled as single- and multi-objective frameworks. However, different practical constraints for TLSM must be efficiently guaranteed. This paper proposes developed to maximize operating force minimize flux saturation. In this regard, Multi-objective Grey Wolf Optimizer (MGWO)...

one of the most important applications of multi-objective optimization is adjusting parameters ofpractical engineering problems in order to produce a more desirable outcome. in this paper, the decoupled sliding mode control technique (dsmc) is employed to stabilize an inverted pendulum which is a classic example of inherently unstable systems. furthermore, a new multi-objective particle swarm o...

The satellites scheduling mission play an effective role in enhancing the of ground station control and monitoring systems. In this search, SGSEO is re-formulated into a multi-objective optimization task. Therefore, Gravitational Search Algorithm GSA exploited to attain several essential objectives for generating tight scheduling. Moreover, particle swarm model PSO consolidated with novel form ...