Search algorithms

In the genre of science fiction, authors and directors create new worlds of fantastic possibilities. Some of these worlds take place in our future, theorizing about things that are to come, while others take us to galaxies far, far away. Regardless of where or when the story takes place, particular conventions are always certain. One such convention is that when a new technology is central to the plot, the technology will cause harm. Star Trek II: The Wrath of Khan demonstrates this through the…

“There are certain things men must do to remain men. Your computer would take that away.” Wise words from Captain James T. Kirk. “The Ultimate Computer,” an episode from Gene Roddenberry’s Star Trek: The Original Series, effectively details human reaction toward technology and how far advancement should extend. Star Trek scrutinizes the consequences of space travel and exploration, advancement of technology, and militarization. In the episode “The Ultimate Computer,” the crew of the U.S.S.…

grey wolves is mimicked by GWO algorithm. GWO employs four types of grey wolves such as alpha, beta, delta, and omega. GWO consists of three main steps of hunting, searching for prey. Encircling prey, and attacking prey [38]. GWO is benchmarked on many challenging test problems and applied to some real engineering problems. The results reveal that GWO is able to provide very competitive results compared to these well-known meta-heuristics. Meta-heuristics algorithms have become remarkably common…

We implemented the proposed algorithm in HM15.0 [4] of H.265/HEVC reference software and compared it with TZ Search in terms of computations (search speed measured by total encoding time and ME time) and performance (PSNR and bit rate). Average Speedup is defined as the ratio of the time of TZ search algorithm to the proposed algorithm. Test conditions [8] for simulation are as follows: 1. Four different quantization parameters (QP=22, 27, 32, 37) to test the algorithm at different bit rates. 2.…

to Privacy,Threat to Human dignity,Threat to safety. Business Intelligence issues are classified into two types.They are Organization and People and Technology and data Algorithms in Artificial Intelligence and Business intelligence Artificial Intelligence Algorithms Business Intelligence Algorithms Breadth first search algorithm It starts from root node and explores neighbour nodes first and moves to the next level neighbour nodes.It provides the shortest path to the solution and can be…

Title: Multi-Objective LPO by Fuzzy Gravitational Search Algorithm in WWER1000 Authors: M. Aghaiea,*, S.M. Mahmoudib a Engineering Department, Shahid Beheshti University, G.C, P.O. Box: 1983963113, Tehran, Iran bFaculty of Electrical and Computer Engineering, Graduate University of Advanced Technology, Kerman, Iran. Number of manuscript pages: Number of figures: Number of tables: * Corresponding author Email: M_Aghaie@sbu.ac.ir Fax: +98 21 29902546 Abstract The…

The algorithm shows above will processing about number of 259−n attacks, the probity of successful for one unit is 2−n。It should be noted that even if a single packet has a net load of 2745 bits, you can get more than 2, 745 bits if you can get the plaintext of multiple packages. The next step in all of the required attacks is how to know the initial setup of the second layer of dense flow generator for any Packet (Packet). If you can get multiple packages and try them one by one, you can…

population size will increase by one if a bacterium undergoes reproduction and decrease by one if a bacterium faces lethat consequences. As a result, the population size may change in the searching and foraging process. At the beginning of the algorithm, as S equals to S^i, the bacterium will split and reproduce when its nutrient is greater than Nsplit and die when its nutrient is less than 0.00. The population may not go…

Tabu Search (TS) is a single solution meta-heuristic based on the utilization of its search history. It was introduced by Glover in 1986, and is a first method being referred to as \textit{meta-heuristic} \cite{glover1986}. However, 10 years earlier many of basic TS elements were already suggested by Glover as a part of specific oriented heuristic for solving nonlinear covering problem \cite{glover1977,osman1996}. The TS meta-heuristics is mostly applied to combinatorial optimization problems.…

proposed MFO algorithm, I assumed that the candidate solutions are moths and the problem’s variables are the position of moths in the space. Therefore, the moths can fly in 1-D, 2-D, 3-D, or hyper dimensional space with changing their position vectors. Since the MFO algorithm is a population-based algorithm. It should be noted here that moths and flames are both solutions. The difference between them is the way we treat and update them in each iteration. The moths are actual search agents that…