During the last decade the analysis of intrusion detection has become very significant, the researcher focuses on various dataset to improve system accuracy and to reduce false positive rate based on DAPRA 98 and later the updated version as KDD cup 99 dataset which shows some statistical issues, it degrades the evaluation of anomaly detection that affects the performance of the security analys...

in this paper proposes a fuzzy multi-objective hybrid genetic and bee colony optimization algorithm(ga-bco) to find the optimal restoration of loads of power distribution network under fault.restoration of distribution systems is a complex combinatorial optimization problem that should beefficiently restored in reasonable time. to improve the efficiency of restoration and facilitate theactivity...

optimization of structures for minimum weight has become important in the recent designs. in this study, a genetic optimization algorithm for weight minimization of steel frames has been used. the genetic algorithm is an optimization and search technique based on the principles of genetics and natural selection. constraints regarding material strength and serviceability are taken from “aisc cod...

BACKGROUND The FIFA has implemented an important antidoping programme for the 2014 FIFA World Cup. AIM To perform the analyses before and during the World Cup with biological monitoring of blood and urine samples. METHODS All qualified players from the 32 teams participating in the World Cup were tested out-of-competition. During the World Cup, 2-8 players per match were tested. Over 1000 s...

OBJECTIVE To examine the use of medication of top-level male players during the 2014 FIFA World Cup Brazil. DESIGN Retrospective survey. PARTICIPANTS/INFORMATION 736 top level players. SETTING The teams' physicians disclosed a list of the medications used by each player within 72 h before each match of the 2014 FIFA World Cup Brazil. OUTCOME MEASURES Average number of medications used p...

We propose an optimization algorithm, called the small-world algorithm (SWA), based on searching mechanisms in social networks. The SWA emphasizes local rather than global search to find the solutions for optimization problems. We investigate two encoding strategies, binary encoding and decimal encoding, in the SWA and test them by function optimization and 01 multidimensional knapsack problems...

clustering is a widespread data analysis and data mining technique in many fields of study such as engineering, medicine, biology and the like. the aim of clustering is to collect data points. in this paper, a cultural algorithm (ca) is presented to optimize partition with n objects into k clusters. the ca is one of the effective methods for searching into the problem space in order to find a n...

PSO is a robust and stochastic optimization technique based on the movement and the intelligence of the swarms. PSO is inspired with social behavior of bird flocking and fish schooling. PSO algorithm is applied to solve the real world complex optimization problems. So many real world optimization problems are solved by using different combinations and variations of PSO algorithms. In this paper...