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Global On-Page SEO Tool Market Research Report: By Functionality (Keyword...
- wiseguyreports.com
Updated Sep 15, 2025+ more versions
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EmailClick to copy linkLink copiedCite(2025). Global On-Page SEO Tool Market Research Report: By Functionality (Keyword Optimization, Content Analysis, Meta Tag Management, Link Management, Site Audit), By Deployment Type (Cloud-based, On-premises), By End User (Small Enterprises, Medium Enterprises, Large Enterprises), By Pricing Model (Subscription, One-time Payment, Freemium) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/on-page-seo-tool-marketDataset updatedSep 15, 2025Licensehttps://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy
Time period coveredSep 25, 2025Area coveredGlobalDescriptionBASE YEAR 2024 HISTORICAL DATA 2019 - 2023 REGIONS COVERED North America, Europe, APAC, South America, MEA REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends MARKET SIZE 2024 2.37(USD Billion) MARKET SIZE 2025 2.6(USD Billion) MARKET SIZE 2035 6.5(USD Billion) SEGMENTS COVERED Functionality, Deployment Type, End User, Pricing Model, Regional COUNTRIES COVERED US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA KEY MARKET DYNAMICS Increasing demand for online visibility, Growing competition among businesses, Advancements in AI technologies, Rising importance of user experience, Expanding digital marketing trends MARKET FORECAST UNITS USD Billion KEY COMPANIES PROFILED Mangools, Rank Math, Moz, Ahrefs, SpyFu, SEO PowerSuite, Serpstat, WebCEO, BrightEdge, Screaming Frog, Yoast, SEMRush MARKET FORECAST PERIOD 2025 - 2035 KEY MARKET OPPORTUNITIES Growing demand for local SEO, Increasing focus on mobile optimization, Rising importance of voice search, Integration with AI technologies, Expansion into emerging markets COMPOUND ANNUAL GROWTH RATE (CAGR) 9.6% (2025 - 2035) - p
Suchvolumen-Daten für meta tag tester
- performance-suite.io
jsonUpdated Dec 15, 2025+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCitePerformance Suite GmbH (2025). Suchvolumen-Daten für meta tag tester [Dataset]. https://www.performance-suite.io/keyword-db/in-en/meta-tag-tester/jsonAvailable download formatsDataset updatedDec 15, 2025Dataset authored and provided byPerformance Suite GmbHTime period covered2024 - 2025Area coveredDeutschlandVariables measuredSuchvolumenMeasurement techniqueGoogle Keyword Planner APIDescriptionHistorische Suchvolumen-Daten für das Keyword 'meta tag tester' über die letzten 12 Monate
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CPC-Daten für meta tag tester
- performance-suite.io
jsonUpdated Dec 15, 2025+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCitePerformance Suite GmbH (2025). CPC-Daten für meta tag tester [Dataset]. https://www.performance-suite.io/keyword-db/in-en/meta-tag-tester/jsonAvailable download formatsDataset updatedDec 15, 2025Dataset authored and provided byPerformance Suite GmbHTime period covered2024 - 2025Area coveredDeutschlandVariables measuredCost per Click (CPC)Measurement techniqueGoogle Keyword Planner APIDescriptionHistorische Cost-per-Click (CPC) Daten für das Keyword 'meta tag tester' über die letzten 12 Monate
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PYTHON code and MATLAB code for "Multi-fidelity Meta-optimization for Nature...
- data.mendeley.com
Updated Jul 24, 2020ShareFacebookTwitterEmailClick to copy linkLink copiedCiteHui Li (2020). PYTHON code and MATLAB code for "Multi-fidelity Meta-optimization for Nature Inspired Optimization Algorithms" [Dataset]. http://doi.org/10.17632/pj6d526kzm.2Unique identifierhttps://doi.org/10.17632/pj6d526kzm.2Dataset updatedJul 24, 2020AuthorsHui LiLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescription(version 2)
We add the MATLAB version (multi-fidelity-parameter-tuning-matlab.zip) , hoping researchers who program with MATLAB will find it helpful.
The structure of the MATLAB code is:
Algorithm (Algorithm.m): 1.1 Basic Algorithm: 1.1.1 PSO.m 1.1.2 GWO.m 2.2 Multi-fidelity Parameter Tuning: 2.2.1 FidelityControlFunction.m 2.2.2 MFOptimizedNIO.m 2.2.2.1 MFOptimizedPSO.m 2.2.3 MFMetaGWO.m
Cost Function: 2.1 SphereFunc.m 2.2 CEC14Func.m 2.2.1 input_data 2.2.2 cec14_func.cpp 2.2.3 cec14_func.mexw64
Demo: 3.1 DemoMF.m
One can run demo as follows:
- Go into project root:
<YOUR_WORKSPACE>/multi-fidelity-parameter-tuning-matlab - Run the following command in MATLAB window:
DemoMF
One can compile CEC 2014 as follows:
Run the following command to create CEC 2014 library in MATLAB:
mex cec14_func.cpp -DWINDOWS(version 1)
The python code is used in the manuscript "Multi-fidelity Meta-optimization for Nature Inspired Optimization Algorithms" submitted to "Applied soft computing". The programming environment is: Python 3.6 or higher.
The folders in the package include: 1. algorithms: Basic algorithms, including base class 'Algorithm' and [CS, DE, FOA, GWO, KH, PSO, SSA, WWO, WOA]. 2. applications: An engineering application: source term estimation. 3. benchmarks: Test functions, including base class 'Benchmark', basic test functions and 'CEC2014 Benchmark Suite'. 4. demo: Examples. 5. parameter_tuning: Multi-fidelity meta-NIOs and optimized-NIOs.
If you prefer using the command line to run the program, please do not forget to manually add the working directory to 'sys.path'.
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Schwierigkeitsgrad für meta tag checker
- performance-suite.io
jsonUpdated Dec 6, 2025+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCitePerformance Suite GmbH (2025). Schwierigkeitsgrad für meta tag checker [Dataset]. https://www.performance-suite.io/keyword-db/de-de/meta-tag-checker/jsonAvailable download formatsDataset updatedDec 6, 2025Dataset authored and provided byPerformance Suite GmbHArea coveredDeutschlandVariables measuredSEO SchwierigkeitsgradMeasurement techniqueOSG Performance Suite AlgorithmusDescriptionSEO-Schwierigkeitsgrad für das Keyword 'meta tag checker' - Bewertung der Ranking-Schwierigkeit
- p
Wettbewerbs-Daten für meta tag checker
- performance-suite.io
jsonUpdated Dec 6, 2025+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCitePerformance Suite GmbH (2025). Wettbewerbs-Daten für meta tag checker [Dataset]. https://www.performance-suite.io/keyword-db/de-de/meta-tag-checker/jsonAvailable download formatsDataset updatedDec 6, 2025Dataset authored and provided byPerformance Suite GmbHTime period covered2024 - 2025Area coveredDeutschlandVariables measuredWettbewerb (Google Ads)Measurement techniqueGoogle Keyword Planner APIDescriptionHistorische Wettbewerbs-Daten (Google Ads) für das Keyword 'meta tag checker' über die letzten 12 Monate
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FacebookTwitterEmailGlobal On-Page SEO Tool Market Research Report: By Functionality (Keyword Optimization, Content Analysis, Meta Tag Management, Link Management, Site Audit), By Deployment Type (Cloud-based, On-premises), By End User (Small Enterprises, Medium Enterprises, Large Enterprises), By Pricing Model (Subscription, One-time Payment, Freemium) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035
https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy
| BASE YEAR | 2024 |
| HISTORICAL DATA | 2019 - 2023 |
| REGIONS COVERED | North America, Europe, APAC, South America, MEA |
| REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| MARKET SIZE 2024 | 2.37(USD Billion) |
| MARKET SIZE 2025 | 2.6(USD Billion) |
| MARKET SIZE 2035 | 6.5(USD Billion) |
| SEGMENTS COVERED | Functionality, Deployment Type, End User, Pricing Model, Regional |
| COUNTRIES COVERED | US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA |
| KEY MARKET DYNAMICS | Increasing demand for online visibility, Growing competition among businesses, Advancements in AI technologies, Rising importance of user experience, Expanding digital marketing trends |
| MARKET FORECAST UNITS | USD Billion |
| KEY COMPANIES PROFILED | Mangools, Rank Math, Moz, Ahrefs, SpyFu, SEO PowerSuite, Serpstat, WebCEO, BrightEdge, Screaming Frog, Yoast, SEMRush |
| MARKET FORECAST PERIOD | 2025 - 2035 |
| KEY MARKET OPPORTUNITIES | Growing demand for local SEO, Increasing focus on mobile optimization, Rising importance of voice search, Integration with AI technologies, Expansion into emerging markets |
| COMPOUND ANNUAL GROWTH RATE (CAGR) | 9.6% (2025 - 2035) |