A Novel Prediction Method Based on Improved Binary Glowworm Swarm Optimization and Multi-Fractal Dimension for P2P Lending Investment Risk
نویسندگان
چکیده
منابع مشابه
A Glowworm Swarm Optimization Algorithm Based Tribes
This paper based on the metaphor of specialization and cooperation in steppe tribes of the human society, tribe glowworm swarm optimization (TGSO) algorithm was presented to solve the problem of low precision and easy to fall into local optimization of the glowworm swarm optimization (GSO) algorithm. In the proposed tribe glowworm swarm optimization approach, all glowworms are divided into a ce...
متن کاملA New Routing Algorithm for Vehicular Ad-hoc Networks based on Glowworm Swarm Optimization Algorithm
Vehicular ad hoc networks (VANETs) are a particular type of Mobile ad hoc networks (MANET) in which the vehicles are considered as nodes. Due to rapid topology changing and frequent disconnection makes it difficult to design an efficient routing protocol for routing data among vehicles. In this paper, a new routing protocol based on glowworm swarm optimization algorithm is provided. Using the g...
متن کاملA Novel Technique for Steganography Method Based on Improved Genetic Algorithm Optimization in Spatial Domain
This paper devotes itself to the study of secret message delivery using cover image and introduces a novel steganographic technique based on genetic algorithm to find a near-optimum structure for the pair-wise least-significant-bit (LSB) matching scheme. A survey of the related literatures shows that the LSB matching method developed by Mielikainen, employs a binary function to reduce the numbe...
متن کاملImproved Binary Particle Swarm Optimization Based TNEP Considering Network Losses, Voltage Level, and Uncertainty in Demand
Transmission network expansion planning (TNEP) is an important component of power system planning. Itdetermines the characteristics and performance of the future electric power network and influences the powersystem operation directly. Different methods have been proposed for the solution of the static transmissionnetwork expansion planning (STNEP) problem till now. But in all of them, STNEP pr...
متن کاملUlepszenia Algorytmu Glowworm Swarm Optimization
Glowworm Swarm Optimization algorithm is applied for the simultaneous capture of multiple optima of multimodal functions. The algorithm uses an ensemble of agents, which scan the search space and exchange information concerning a fitness of their current position. The fitness is represented by a level of a luminescent quantity called luciferin. An agent moves in direction of randomly chosen nei...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2970482