In real life, there are a lot of Multi-objective Optimization Problem, which is shorted for MOP in the process of people working in production and economic and engineering activities. These problems are often very complex and nonlinear, and even conflicted with each other. When solving these problems, Multi-objective Optimization, shorted for MOO should be done on these issues. For example, for...

we present a new model and a new approach for solving fuzzylinear programming (flp) problems with various utilities for the satisfactionof the fuzzy constraints. the model, constructed as a multi-objective linearprogramming problem, provides flexibility for the decision maker (dm), andallows for the assignment of distinct weights to the constraints and the objectivefunction. the desired solutio...

the problem of staff scheduling at a truck hub for loading and stripping of the trucks is an important and difficult problem to optimize the labor efficiency and cost. the trucks enter the hub at different hours a day, in different known time schedules and operating hours. in this paper, we propose a goal programming to maximize the labor efficiency via minimizing the allocation cost. the propo...

In this paper, the tradeoff between spectrum efficiency (SE) and energy (EE) is investigated in terms of interference management power allocation for heterogeneous networks (HetNets) with non-orthogonal multiple access (NOMA). The EE SE modeled as a multi-objective problem (MOP) under maximum quality service (QoS) constraints, which non-convex. MOP relaxed into convex single objective (SOP) by ...