This note describes a parameter-free implementation of Central Force Optimization for deterministic multidimensional search and optimization. The user supplies only one input: the objective function to be maximized, nothing more. The CFO equations of motion are simplified by assigning specific values to CFO’s basic parameters, and this particular algorithmic implementation also includes hardwir...

This note compares the performance of two multidimensional search and optimization algorithms: Group Search Optimizer and Central Force Optimization. GSO is a new state-of-theart algorithm that has gained some notoriety, consequently providing an excellent yardstick for measuring the performance of other algorithms. CFO is a novel deterministic metaheuristic that has performed well against GSO ...

In most of the sheet forming processes, production of the parts with minimum thickness variation and low required force is important. In this research, minimization of the sheet thinning and forming force in the hydraulic deep drawing process has been studied. Firstly, the process is simulated using the finite element method (FEM) and simulation model is verified using the experimental results....

superconducting materials are capable of trapping extremely high magnetic fields. this property and meissner effect of superconductors causes a levitation force between bulk superconductors and a permanent magnet (pm). this levitation force has possible industrial applications such as permanent magnet guideways (pmg). because of the high price of permanent magnets, the optimization of pmg desig...

the aim of this investigation was to prepare, characterize and optimize the aceclofenac proniosomes using central composite design and carry out stability studies. three independent variables selected were molar ratio of drug to lipid (x1), surfactant loading (x2) and volume of hydration (x3). based on central composite design, 16 batches of proniosomes were prepared by slurry method and evalua...

An improved Central Force Optimization (CFO) algorithm for antenna optimization is presented. CFO locates the global extrema an objective function to be maximized, in this case antenna directivity, by flying “probes” through the decision space (DS). The new implementation includes variable initial probe distribution and decision space adaptation. CFO’s performance is assessed against a recogniz...

This note applies Variable 0 Z technology to the design of an Ultra Wideband (UWB) YagiUda array optimized using Central Force Optimization. Variable 0 Z is a novel and proprietary approach to antenna design and optimization that treats the feed system characteristic impedance, 0 Z , as a design variable instead of a fixed design parameter as is traditionally done. Variable 0 Z is applicable to...