An efficient and robust bat algorithm with fusion of opposition-based learning and whale optimization algorithm
J Luo, F He, J Yong - Intelligent Data Analysis, 2020 - content.iospress.com
Bat algorithm (BA) has the advantage of fast convergence, but there is still room for
improvement in accuracy and stability of solution. An efficient and robust fusion bat algorithm …
improvement in accuracy and stability of solution. An efficient and robust fusion bat algorithm …
A modified bat algorithm with torus walk for solving global optimisation problems
Bat algorithm (BA) has been widely used to solve the diverse kinds of optimisation problems.
In accordance with the optimisation problems, balance between the two major components …
In accordance with the optimisation problems, balance between the two major components …
Training of artificial neural network using new initialization approach of particle swarm optimization for data classification
Artificial neural network (ANN) has a wide variety of practice for the solution of problems in
the area of data classification. Back propagation algorithm is a famous neural network (NN) …
the area of data classification. Back propagation algorithm is a famous neural network (NN) …
[PDF][PDF] Enhanced Harris's Hawk algorithm for continuous multi-objective optimization problems
SA Yasear - Diss. Universiti Utara Malaysia, 2020 - etd.uum.edu.my
Multi-objective swarm intelligence-based (MOSI-based) metaheuristics were proposed to
solve multi-objective optimization problems (MOPs) with conflicting objectives. Harris's hawk …
solve multi-objective optimization problems (MOPs) with conflicting objectives. Harris's hawk …