Search algorithms

ANALYSIS AND DESIGN OF CUCKOO ALGORITHM Cuckoo search (CS) is an optimization algorithm developed by Xin-she Yang and Suash Deb in 2009. It was inspired by the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds (of other species). Some host birds can engage direct conflict with the intruding cuckoos. For example, if a host bird discovers the eggs are not their own, it will either throw these alien eggs away or simply abandon its nest and build…

for numerical function optimization. The advantage of ABC is that the global search ability in the algorithm is implemented by introducing neighborhood source production mechanism. Rao et al. deals with radial division system network reconfiguration problem. This paper presents a method for deciding the sectionalizing switch to be operated in order to solve the distribution system loss minimization problem. ABC algorithm were used in many…

of the GA approach does not rely upon precise knowledge of the problem definition. The success of the algorithm is accredited to various factors: powerful, global parallel search capability, computation simplicity, and robustness, ability to combine with other heuristic procedures and independence from solution traits such as linear or non-linear constraints either in discrete or continuous search…

Particle Swarm Optimization [27] is a population-based stochastic optimization developed by Dr. Ebehart and Dr. Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling. In PSO, each single solution is a “bird” (particle) in the search space of food (the best solution). All particles have fitness values evaluated by the fitness function (the cost function for ELD problem), and have velocities that direct the “flying” (or evaluation) of the particles. Initialized with a set…

More often than not, between two people, a quick search on Google about a current event will output different results. The “Top Picks” on their Netflix home screens will not match up. The advertisements that constantly pop up on the sides of their screens may depict the pair of pants or shoes that they were looking at only a day ago on an unrelated website. Major-league companies like Google, Yahoo, and Facebook have the vast majority of their users oblivious to their unceasing content…

parameters of RBF (Gaussian)dynamically optimizing all values of kernel ’s parameters through WOA evolutionary process, and utilizing obtained kernel parameters to build optimized SVR model in order to proceeded forecasting. Fig. 1 explains the algorithm process of the WOA–SVR model. Our proposed WOA–SVR details are illustrated as next: Preprocess: 1.1. Remove non-numerical value from features value to obtained the correct result. 1.2. Data scaling. The major trait of scaling is to bypass…

Furthermore, guidelines considering the selection of algorithms and input parameters for the MHNSGA algorithm are resulted from the analysis of real-world databases. When it comes to solving the controller placement problem with tens of millions placements for which performing the exhaustive evaluation requires a considerable amount of time and memory budget, our proposed heuristic approach is an appropriate choice. As described before, for such these large-scale instances, it is only possible…

Colony Algorithm. The proposed algorithm is the implementation of ABC algorithm with the key concept of GA technique.The GABC is actually the hybrid approach of Artificial Bee Colony Algorithm and the Genetic Algorithm.In this method we extend Genetic Algorithm with Artificial Bee Colony operators i:e Employed Bees and Onlooker Bees to improve the solution space named as Genetic Artificial Bee Colony Algorithm (GABCA). Genetic algorithms belong to the larger class of evolutionary algorithms…

solution in a complex search space. Due to its faster convergence rate [20]. Particle Swarm Optimization has a flexible to adjust local and global search abilities. It requires only limited parameters to be adjusted, which makes it more attractive from an implementation viewpoint. The PSO algorithm has one main operator is the “velocity” equation. It consists of some components in the search space with a velocity (each particle also carries a memory). The velocity provides the search…

and B and C), he can create a trapdoor in arbitrary order as one search token, that’s mean he can send one of the following combined keywords (A∥B∥C), (A∥C∥B), (B∥A∥C), (B∥C∥A), (C∥A∥B) or (C∥B∥A) as a query to the remote server. Then the server tests the Bloom filter against the trapdoor and retrieves the associated matched document to DU without needing for the posting list intersection protocol. Our scheme consists of six algorithms KeyGenerator, BuildIndex, DocEncrypt, Trap- doorGen,…