Abstract This work introduces an approach for optimization machinability measures of power consumption, machining time, and the surface roughness (PMS). is starting with market customer’s demands, passing by optimizing (PMS), ending optimized cutting conditions. The fuzzy logic was used to define weights each required measurement using method through expert rules depending on factory requiremen...

Software effort and cost estimation are crucial parts of software project development. It determines the budget, time, resources needed to develop a project. The success development depends mainly on accuracy estimation. A poor will impact result, which worsens management. Various model has been introduced resolve this problem. COnstructive COst MOdel (COCOMO) is well-established model; however...

A strong correlation exists between subcooled boiling in assembly subchannels and CRUD deposition. In this work a genetic algorithm is used to optimize 17 x PWR fuel have minimized boiling, peak kinf, maximized end of cycle kinf. Optimization these parameters act as surrogate for the optimization deposition assemblies due their correlation. Subcooled measured by vapor void sub channel, values a...

This study is investigated the optimum parameters for a tuned mass damper (TMD) under the seismic excitation. Shuffled complex evolution (SCE) is a meta-heuristic optimization method which is used to find the optimum damping and tuning frequency ratio for a TMD. The efficiency of the TMD is evaluated by decreasing the structural displacement dynamic magnification factor (DDMF) and acceleration ...