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

Optimization Problems01:26

Optimization Problems

20
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
20
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

434
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
434
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

385
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 enhance...
385
Theorems of Pappus and Guldinus: Problem Solving01:12

Theorems of Pappus and Guldinus: Problem Solving

1.0K
Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a...
1.0K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

290
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...
290

You might also read

Related Articles

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

Sort by
Same author

MicroRNA-126 functions as a tumor suppressor in colorectal cancer cells by targeting CXCR4 via the AKT and ERK1/2 signaling pathways.

International journal of oncology·2013
Same author

Position-sensitive spectral splitting with a plasmonic nanowire on silicon chip.

Scientific reports·2013
Same author

Preparation and pharmacokinetic study of aprepitant-sulfobutyl ether-β-cyclodextrin complex.

AAPS PharmSciTech·2013
Same author

Ghrelin but not nesfatin-1 affects certain forms of learning and memory in both rats and mice.

Brain research·2013
Same author

[Application of efficient synthetic techniques in drug research].

Yao xue xue bao = Acta pharmaceutica Sinica·2013
Same author

[Computational chemistry in structure-based drug design].

Yao xue xue bao = Acta pharmaceutica Sinica·2013

Related Experiment Video

Updated: Jan 16, 2026

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans
12:32

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans

Published on: September 27, 2020

10.1K

Enhanced Whale Optimization Algorithm with Novel Strategies for 3D TSP Problem.

Yu Zhou1, Zijun Hao1

  • 1School of Mathematics and Information Science, North Minzu University, Yinchuan 750021, China.

Biomimetics (Basel, Switzerland)
|September 26, 2025
PubMed
Summary

This study introduces ImWOA, an improved Whale Optimization Algorithm (WOA), enhancing global search efficiency through clustering, adaptive mutation, and pattern search. ImWOA demonstrates superior performance on benchmark functions and the Traveling Salesperson Problem.

Keywords:
GPSPositiveBasis2N algorithmK-means clustering algorithma dynamic cluster center-guided search strategydual-modal population diversity-driven adaptive mutation strategyimproved whale optimization algorithmpattern search strategy

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

13.4K
Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

1.3K

Related Experiment Videos

Last Updated: Jan 16, 2026

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans
12:32

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans

Published on: September 27, 2020

10.1K
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

13.4K
Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring
13:35

Reefshape: A System for the Efficient Collection and Automated Processing of Time-Series Underwater Photogrammetry Data for Benthic Habitat Monitoring

Published on: June 13, 2025

1.3K

Area of Science:

  • Computational Intelligence
  • Optimization Algorithms
  • Metaheuristics

Background:

  • The Whale Optimization Algorithm (WOA) suffers from insufficient global search efficiency.
  • Complex optimization problems require algorithms with robust exploration and exploitation capabilities.

Purpose of the Study:

  • To enhance the global search efficiency and performance of the Whale Optimization Algorithm (WOA).
  • To develop an improved variant (ImWOA) addressing the limitations of the original WOA.

Main Methods:

  • Integration of a dynamic cluster center-guided search mechanism using K-means clustering.
  • Implementation of a dual-modal diversity-driven adaptive mutation mechanism.
  • Inclusion of the GPSPositiveBasis2N algorithm for periodic local optimization.

Main Results:

  • ImWOA achieved optimal mean values for 20/29 functions in 30D and 26/29 functions in 100D CEC2017 benchmark tests.
  • Demonstrated superior capability in complex optimization tasks, including a first-rank performance in 3D-TSP validation.
  • Outperformed the original WOA, eight state-of-the-art metaheuristics, and five advanced WOA variants.

Conclusions:

  • The proposed ImWOA significantly improves global exploration and solution quality compared to the original WOA.
  • The synergistic integration of multiple strategies enhances the algorithm's robustness and convergence.
  • ImWOA presents a powerful and effective metaheuristic for tackling complex global optimization problems.