In this study, the multi-objective optimization method for thin-wall milling of 6061 aluminum alloy is addressed. The technological parameters including cutting speed Vc, feed tooth fz, and width cut ar are considered input variables, while manufacturing responses surface roughness Ra, production rate MRR, flatness deviation FL. goal to find optimum minimize Ra FL maximize at same time. To solv...

in this research, the effectiveness of multiple tuned mass dampers (mtmds) in mitigating the response of nonlinear hysteretic structures has been studied where the optimal parameters of mtmds have been determined based on minimization of maximum relative displacement (drift) of structure. for solving the optimization problem the genetic algorithm (ga) has been used successfully. for numerical a...

recently, lotfi et al. [10] established an equivalence model between the output-oriented dual ccr model and multiple objective linear programming (molp) and used an interactive method for finding target unit on efficiency frontier such that the decision maker preferences can be taken into account. however their method is not applicable for situations in which some outputs are undesirable and ne...

in most of the real-life applications we deal with the problem of transporting some special fruits, as banana, which has particular production and distribution processes. in this paper we restrict our attention to formulating and solving a new bi-criterion problem on a network in which in addition to minimizing the traversing costs, admissibility of the quality level of fruits is a main objecti...

the paper describes an investigation about the application of the new multiple-impedance discontinuities model for optimizing profile diffuser barriers. the new multiple-impedance discontinuities model is much faster than the numerical method, thus it is used in an optimization process. the a-weighted insertion loss was used for the traffic noise spectrum. the result of optimization, which is d...

response surface methodology is a common tool in optimizing processes. it mainly concerns situations when there is only one response of interest. however, many designed experiments often involve simultaneous optimization of several quality characteristics. this is called a multiresponse surface optimization problem. a common approach in dealing with these problems is to apply desirability funct...