Short term load forecasting based on feature extraction and improved general regression neural network model
Y Liang, D Niu, WC Hong - Energy, 2019 - Elsevier
Along with the deregulation of electric power market as well as aggregation of renewable
resources, short term load forecasting (STLF) has become more and more momentous …
resources, short term load forecasting (STLF) has become more and more momentous …
A systematic review on fruit fly optimization algorithm and its applications
Abstract Fruit Fly Optimization Algorithm (FOA) is a metaheuristic algorithm inspired by fruit
fly foraging behaviours. A large numbers of variants of FOA have been proposed by many …
fly foraging behaviours. A large numbers of variants of FOA have been proposed by many …
[HTML][HTML] A discrete tree-seed algorithm for solving symmetric traveling salesman problem
Tree-Seed algorithm (TSA) is a recently developed nature inspired population-based
iterative search algorithm. TSA is proposed for solving continuous optimization problems by …
iterative search algorithm. TSA is proposed for solving continuous optimization problems by …
Cold chain logistics path optimization via improved multi-objective ant colony algorithm
B Zhao, H Gui, H Li, J Xue - Ieee Access, 2020 - ieeexplore.ieee.org
In order to improve the performance and change the current situation of the cost
minimization model widely used in the cold chain logistics distribution process, a multi …
minimization model widely used in the cold chain logistics distribution process, a multi …
Genetic algorithm based multi-objective optimization framework to solve traveling salesman problem
T George, T Amudha - Advances in Computing and Intelligent Systems …, 2020 - Springer
The combination of objectives to be optimized is known as Combinatorial Optimization.
Traveling Salesman is one of the demanding topics in the field of Combinatorial …
Traveling Salesman is one of the demanding topics in the field of Combinatorial …
Boosted hunting-based fruit fly optimization and advances in real-world problems
Fruit fly optimization algorithm (FOA) is a well-established meta-heuristic method with a clear
core concept, a straightforward computation, and a code framework that is easy to build. In …
core concept, a straightforward computation, and a code framework that is easy to build. In …
Improvement of traveling salesman problem solution using hybrid algorithm based on best-worst ant system and particle swarm optimization
This work presents a novel Best-Worst Ant System (BWAS) based algorithm to settle the
Traveling Salesman Problem (TSP). The researchers has been involved in ordinary Ant …
Traveling Salesman Problem (TSP). The researchers has been involved in ordinary Ant …
Optimization of the spectrum splitting and auction for 5th generation mobile networks to enhance quality of services for iot from the perspective of inclusive sharing …
JK Chiang, CL Lin, YF Chiang, Y Su - Electronics, 2021 - mdpi.com
Fifth generation (5G) mobile networks can accomplish enhanced communication
capabilities and desired to connect things in addition to people. By means of optimally …
capabilities and desired to connect things in addition to people. By means of optimally …
Efficient energy management system using Internet of things with FORDF technique for distribution system
UR Vinjamuri, BL Rao - IET Renewable Power Generation, 2021 - Wiley Online Library
Energy management system for the distribution system using Internet of things with hybrid
technique. The proposed hybrid technique is the joined execution of both the fruitfly …
technique. The proposed hybrid technique is the joined execution of both the fruitfly …
Automating the generation of 3D multiple pipe layout design using BIM and heuristic search methods
The layout design and spatial coordination of multiple pipe systems is major challenge in the
construction industry. The purpose of multiple pipe layout design is to find out an optimal …
construction industry. The purpose of multiple pipe layout design is to find out an optimal …