We consider the problem of black-box multi-objective optimization (MOO) using expensive function evaluations (also referred to as experiments), where goal is approximate true Pareto set solutions by minimizing total resource cost experiments. For example, in hardware design optimization, we need find designs that trade-off performance, energy, and area overhead computational simulations. The ke...

Low side lobe levels and asymmetrical multiple nulls in specified directions need to be achieved for increasing the efficiency of antenna arrays used in communication systems. Nature inspired algorithms like Invasive Weed Optimization (IWO) algorithm may be applied for synthesis of linear antenna arrays to estimate the element phase excitations for achieving nulls in undesired directions. Sever...

With the fast increase of the documents, using Text Document Classification (TDC) methods has become a crucial matter. This paper presented a hybrid model of Invasive Weed Optimization (IWO) and Naive Bayes (NB) classifier (IWO-NB) for Feature Selection (FS) in order to reduce the big size of features space in TDC. TDC includes different actions such as text processing, feature extraction, form...

For mobile <span>communication and spatial detection of antennas should have high directive radiation pattern, in this context pattern synthesis planar circular antenna arrays is highly significant such design has been done inverse weed optimization. The basic objective e to study invasive optimization compression with modified chaotic adaptive focus the effect factors suitable for sinuso...