The practical application of a multi-objective optimization strategy based on evolutionary algorithms was proposed to optimize the plastics thermoforming process. For that purpose, in this work, differently from other works literature, shaping step considered individually with aim optimizing thickness distribution final part originated sheets characterized by different profiles, such as constan...

calculating total cast of bank resources procurement methods which include current -free loan deposit, saving interest-free loan deposit, regular and net short-term investment deposit, long-term investment deposit and surety bond cash deposit and presenting their optimal integration require precise scientific studies. hence, this study is an attempt to know which methods are the best optimal in...

We analyze combinatorial optimization problems with ordinal, i.e., non-additive, objective functions that assign categories (like good, medium and bad) rather than cost coefficients to the elements of feasible solutions. review different optimality concepts for ordinal discuss their similarities differences. then focus on two prevalent are shown be equivalent. Our main lies investigation a bije...

A surrogate-based design optimization with an adaptive sampling technique based on the innovative infill criteria (ISC) is developed, where key issues are mathematically formulated in space and how many sample points infilled to guarantee desirable accuracy at minimal computational cost. The ISC developed study involve multi-objective (MOO) determine infilling separately for exploitation explor...