Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Ampere-Maxwell's Law: Problem-Solving

Ampere-Maxwell's Law: Problem-Solving

A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the problem,...

Methods of Medium Optimization

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...

Distributed Loads: Problem Solving

Distributed Loads: Problem Solving

Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...

Fast Decoupled and DC Powerflow

Fast Decoupled and DC Powerflow

The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:

Optimal Foraging

Optimal Foraging

How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.

Principle of Virtual Work: Problem Solving

Principle of Virtual Work: Problem Solving

The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
To apply the principle of virtual work,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Naringenin attenuates non-alcoholic fatty liver disease by down-regulating the NLRP3/NF-κB pathway in mice.

British journal of pharmacology·2019

Same author

Cancer Cell Membrane-Camouflaged Nanorods with Endoplasmic Reticulum Targeting for Improved Antitumor Therapy.

ACS applied materials & interfaces·2019

Same author

Inonotus obliquus polysaccharide protects against adverse pregnancy caused by Toxoplasma gondii infection through regulating Th17/Treg balance via TLR4/NF-κB pathway.

International journal of biological macromolecules·2019

Same author

CD10 expression identifies a subset of human perivascular progenitor cells with high proliferation and calcification potentials.

Stem cells (Dayton, Ohio)·2019

Same author

Endocytic degradation of ErbB2 mediates the effectiveness of neratinib in the suppression of ErbB2-positive ovarian cancer.

The international journal of biochemistry & cell biology·2019

Same author

Bexarotene Attenuates Focal Cerebral Ischemia-Reperfusion Injury via the Suppression of JNK/Caspase-3 Signaling Pathway.

Neurochemical research·2019

Same journal

Universal perceptron and DNA-like learning algorithm for binary neural networks: LSBF and PBF implementations.

IEEE transactions on neural networks·2013

Same journal

Guest editorial: special section on white box nonlinear prediction models.

IEEE transactions on neural networks·2011

Same journal

Data-based fault-tolerant control of high-speed trains with traction/braking notch nonlinearities and actuator failures.

IEEE transactions on neural networks·2011

Same journal

Guest editorial: special section on data-based control, modeling, and optimization.

IEEE transactions on neural networks·2011

Same journal

Neural network-based multiple robot simultaneous localization and mapping.

IEEE transactions on neural networks·2011

Same journal

Data-driven model-free adaptive control for a class of MIMO nonlinear discrete-time systems.

IEEE transactions on neural networks·2011

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 12, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Self-organizing potential field network: a new optimization algorithm.

Lu Xu¹, Tommy Wai Shing Chow

¹Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong. xulu22@student.cityu.edu.hk

IEEE Transactions on Neural Networks

|June 24, 2010

Summary

This summary is machine-generated.

A new self-organizing potential field network (SOPFN) algorithm uses attractive and repulsive forces for optimization. SOPFN demonstrates superior performance in escaping local optima and solving multimodal problems compared to other evolutionary algorithms.

Related Experiment Videos

Last Updated: Jun 12, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

Computational intelligence
Artificial intelligence
Optimization algorithms

Background:

Traditional optimization algorithms often struggle with local optima.
The vector potential field concept offers a novel approach to designing optimization strategies.

Purpose of the Study:

To introduce the self-organizing potential field network (SOPFN) algorithm.
To evaluate SOPFN's effectiveness in escaping local optima and solving complex optimization problems.

Main Methods:

The SOPFN algorithm models neurons as having attractive forces (best weights) and repulsive forces (worst weights).
Simulations were conducted on eight benchmark functions to assess performance.
Comparative analysis against other evolutionary optimization algorithms was performed.

Main Results:

SOPFN exhibits competitive and cooperative behaviors, enhancing its ability to escape local optima.
Significant performance improvements were observed for SOPFN on multimodal problems.
The algorithm demonstrated superior results compared to existing evolutionary optimization methods.

Conclusions:

The self-organizing potential field network (SOPFN) is an effective novel optimization algorithm.
SOPFN shows significant promise for addressing multimodal optimization challenges.
The vector potential field-inspired approach offers a powerful new direction in optimization research.