Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

81
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
81
Stability of Equilibrium Configuration: Problem Solving01:13

Stability of Equilibrium Configuration: Problem Solving

630
The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
Problem-solving in the context of the stability of equilibrium configuration...
630
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

668
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...
668
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

159
Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures...
159
Laminar Flow: Problem Solving01:24

Laminar Flow: Problem Solving

214
Laminar flow occurs when a fluid moves smoothly in parallel layers with minimal mixing and turbulence. In fluid mechanics, ensuring laminar flow within a pipe is essential for precise control of flow characteristics, especially in engineering applications. The key factor in determining whether flow remains laminar is the Reynolds number, a dimensionless quantity that depends on the fluid's velocity, density, viscosity, and the pipe's diameter. A Reynolds number of 2100 or lower...
214
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

670
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...
670

You might also read

Related Articles

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

Sort by
Same author

TAFNet: Trusted Multiview Associative Fusion Neural Networks for Analyzing Dynamic Brain Networks.

IEEE transactions on neural networks and learning systems·2026
Same author

Optomechanical gyroscope with parametric resonance.

Applied optics·2026
Same author

Pre-Activated Cascade Redox Enables High-Voltage Multi-Electron Anion Storage in Graphite.

Angewandte Chemie (International ed. in English)·2026
Same author

Targeted intestinal barrier repair <i>via</i> probiotic-derived engineered outer membrane vesicles: A 3A1M strategy with antioxidant, anti-inflammatory, anti-ferroptotic, and microbiome modulation effects.

Acta pharmaceutica Sinica. B·2026
Same author

Systematic Druggable Genome-Wide Analysis Identifies Therapeutic Targets for Aging: A Mendelian Randomization Study.

Health science reports·2026
Same author

Sustainable All-Mn-Based Layered Cathode with Dynamic Structural Stability for Durable Sodium-Ion Batteries.

Advanced materials (Deerfield Beach, Fla.)·2026
Same journal

Peripheral B-cell receptor repertoire predicts immune-related adverse events following immune checkpoint inhibitor therapy in advanced renal cell carcinoma.

Scientific reports·2026
Same journal

Effects of black soldier fly (Hermetia illucens L.) larvae zoocompost on the mineral element content of blue honeysuckle berries.

Scientific reports·2026
Same journal

Investigation on absorption refrigeration performance of R1243zf with imidazolium ionic liquid as the working pairs.

Scientific reports·2026
Same journal

DeepTriage-CN: integrating clinical text with vital signs for emergency department admission prediction in an aging population.

Scientific reports·2026
Same journal

Gold nanoparticles as dual-action antiviral agents: disruption of SARS-CoV-2 viral envelopes and RNA integrity.

Scientific reports·2026
Same journal

Comparison of capillary microsampling and venous blood for multi-pathogen serosurveillance.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Jul 19, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.7K

Maximum Lyapunov exponent-based multiple chaotic slime mold algorithm for real-world optimization.

Jiaru Yang1, Yu Zhang1, Ting Jin2

  • 1Faculty of Engineering, University of Toyama, Toyama-shi, 930-8555, Japan.

Scientific Reports
|August 7, 2023
PubMed
Summary
This summary is machine-generated.

The improved Slime Mold Algorithm (MCSMA) enhances global optimization by incorporating multi-chaotic local operators. This novel approach, guided by the maximum Lyapunov exponent, overcomes local optima challenges in complex problems.

More Related Videos

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

4.7K

Related Experiment Videos

Last Updated: Jul 19, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.7K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

4.7K

Area of Science:

  • Computational Intelligence
  • Optimization Algorithms
  • Nature-Inspired Computing

Background:

  • The Slime Mold Algorithm (SMA) is a nature-inspired optimization technique effective for complex stochastic problems.
  • SMA excels in global optimization due to its biological search simulation but struggles with local optima and incomplete exploration.
  • Addressing these limitations is crucial for advancing optimization capabilities in challenging computational tasks.

Purpose of the Study:

  • To enhance the Slime Mold Algorithm (SMA) by introducing a novel multi-chaotic local operator.
  • To develop an improved algorithm, MCSMA, that leverages chaotic operators for better local solution space exploration.
  • To investigate the probabilistic selection of chaotic operators based on the maximum Lyapunov exponent (MLE).

Main Methods:

  • Integration of a multi-chaotic local operator into the bio-shock feedback mechanism of SMA.
  • Probabilistic selection of chaotic operators guided by the maximum Lyapunov exponent (MLE).
  • Comparative analysis of MCSMA against state-of-the-art methods on CEC2017 benchmark test suites and CEC2011 practical problems.

Main Results:

  • MCSMA demonstrated superior performance compared to existing methods on benchmark and practical optimization problems.
  • The proposed algorithm effectively addresses the limitations of the original SMA, particularly in avoiding local optima.
  • Robustness of MCSMA was validated through dendritic neuron model training for classification tasks.

Conclusions:

  • The novel MCSMA algorithm significantly improves upon the standard SMA, offering enhanced exploration and exploitation capabilities.
  • The integration of MLE-guided chaotic operators provides a robust mechanism for overcoming local optima in complex optimization scenarios.
  • MCSMA presents a potent and reliable tool for addressing diverse and challenging optimization problems in computational intelligence.