Frontiers

A mutation operator self-adaptive differential evolution particle swarm optimization algorithm for USV navigation

To keep the global search capability and robustness for unmanned surface vessel (USV) path planning, an improved differential evolution particle swarm optimization algorithm (DePSO) is proposed in ...
marktechpost

Newton Informed Neural Operator: A Novel Machine Learning Approach for Computing Multiple Solutions of Nonlinear Partials Differential Equations

Neural networks have been widely used to solve partial differential equations (PDEs) in different fields, such as biology, physics, and materials science. Although current research focuses on PDEs ...
Scientific Research Publishing

Relationships among Three Multiplicities of a Differential Operator’s Eigenvalue ()

In this paper, the algebraic, geometric and analytic multiplicities of an eigenvalue for linear differential operators are defined and classified. The relationships among three multiplicities of an ...
IEEE

Support operator method on waveguide problems

Abstract: The finite difference method has been successfully used to solve waveguide problems on rectangular grids. We introduce the support operator method (SOM ...
IEEE

Improved African Vulture Optimization Algorithm Based on Quasi-Oppositional Differential Evolution Operator

Abstract: In this study, an improved African vulture optimization algorithm (IAVOA) that combines the African vulture optimization algorithm (AVOA) with both quasi-oppositional learning and ...
Scientific Research Publishing

Variation of Parameters for Causal Operator Differential Equations ()

Mathematics Department, Texas A & M University Kingsville, Kingsville, USA. 1. Definitions and Example of Nonanticipative Operators An important feature of ordinary differential equations is that the ...