[PDF] Top 20 The Case Study of Swarm Intelligence Optimization Algorithm Performance

... Foraging theory is based on the assumption that animals search for and obtain nutrients in a way that maximizes their energy intake E per unit time T spent foraging. Hence, they try to maximize a function like E/T (or ... See full document

... Swift changes in environment, technology and market has warranted BO to maximize the performance of all the member of SC rather than an individual member. To mitigate this situation, SC members ought to establish ... See full document

... search algorithm (GSA) is a simple well known meta-heuristic search algorithm based on the law of gravity and the law of motion (Rashedi ...a swarm intelligence type algorithm that is ... See full document

... the swarm so ...this case, a new search process starts over the updated search space in order to find the global optimum ...the swarm through a stochastic velocity term and the ability of ... See full document

... stochastic optimization algorithm based on the study of migration behaviors of bird flock in the process of searching ...a swarm and by not employing a survival of the fittest model [Marco ... See full document

... the Performance of APSO and ALC-PSO Executing On the GPU based programs, choosing the appropriate number of threads based on the selected PSO algorithm, the features of employed GPU and population size can ... See full document

... colony algorithm for global optimization problems have introduced the artificial bee colony algorithm is a new swarm intelligence technique inspired by intelligent foraging behavior of ... See full document

... Colony optimization (ABC) and Biogeography Based Optimization (BBO) for the extraction of natural terrain features extraction ...BBO algorithm for the image ...BBO algorithm with high accuracy ... See full document

... for optimization in big data with the presence of swarm ...based algorithm for optimization (Swarm Intelligence) in big data will yield better performance while handling ... See full document

... comparative study on trustworthiness is evaluated between two techniques of swarm intelligence and its hybrid: Ant Colony Optimization, Particle Swarm Optimization and hybridized ... See full document

... FCM algorithm, the fuzzy kernel hierarchical clustering algorithm based on particle swarm algorithm is ...FCM algorithm, the new algorithm is guided by the principle of maximum ... See full document

... in performance more scalability and efficiently. The ant-colony algorithm is a probabilistic technique for solving large data sets problems which can be reduced time to find particular data ...the ... See full document

... Search Algorithm (GSA) is considered as a new optimization technique based on the law of gravity and mass interaction ...better performance results over PSO and mul- tiple signal classification ... See full document

... classification algorithm builds a predictive model from the training data set and then measure the accuracy of the model by using test data ...induction algorithm using Cooperative Particle Swarm ... See full document

... each swarm member tries to detect nearest member from the same team and getting the velocity of this ...the swarm are interacting with one another, sending messages via electrical and chemical signals (Khin ... See full document

... Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) ...proposed optimization algorithms are only tested on the single-area power system, hence proving that all these algorithms are ... See full document

... this study, several ANN models based on swarm intelligence (SI) algorithm; particle swarm optimization (PSO) and multi swarm optimization (MSO) were utilized to ... See full document

... Random behavior [14]:As a default behavior of foraging behavior, stochastic behavior is simple, namely, in the current state of Ｘ i , it chooses a state randomly and moves to the state to achieve random behavior. As long ... See full document

... CS algorithm is put forward by combining CS algorithm with the above chaotic search, in which CS algorithm is used to lead global search and CO leads local search according to the result of CS ...the ... See full document

... Particle swarm optimization algorithm was coined in 1995 by Kennedy and ...continuous optimization problems but some variants are also able to solve discrete problems ...bird swarm is ... See full document