https://eureka.patsnap.com/resources/blog/rd-blog/genetic-algorithm-based-scheduling-optimization-for-task-planning-patent-landscape/ · Patsnap · data cut-off 2026-10-15 · downloaded from the live page
Patent Landscape · AI & Machine Learning

Genetic Algorithm Scheduling Optimization Patents for Task Planning

1,802 patent families on genetic algorithm scheduling, led by a single filer on 37 families against a long tail of others.

1,968
Published Records
1,802
Simple Patent Families
2%
Families Naming the Largest Filer
33%
In Force at Cut-off

1,968 published records collapse into 1,802 simple (DOCDB) families; the difference is the same invention filed in more than one country. STATE GRID CORPORATION OF CHINA is named on 37 of the 1,802 patent families in scope. One patent family can name several filers, so these figures are not slices of a divided whole and do not add up. In force = 656 of 1,968 records still granted and maintained at the data cut-off; the rest are pending, withdrawn, refused or lapsed.

  • 1,802 simple patent families and 1,968 published records sit behind the search string TAC:("genetic algorithm" AND scheduling AND (optimization OR planning)), with no date limit applied.
  • STATE GRID CORPORATION OF CHINA is named on 37 of the 1,802 families (2.1%), the largest single filer row; two further rows share its name but are listed separately and are not summed with it.
  • G06N and G06Q appear on 71.6% and 68.0% of the 1,802 families respectively, each above G06F's 31.3%, which puts AI-model computing and business-process classes ahead of general digital data processing in this set.
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Published byPatsnap Research··6 min readSourced from Patsnap Eureka
Overview

What this search covers

This landscape draws on a search for records whose title, abstract or claims mention a genetic algorithm alongside scheduling and either optimization or planning. No filing-date limit was applied, so the set spans whatever years the matching records happen to carry. The result is 1,802 simple patent families and 1,968 published records, the difference reflects the same invention being filed in more than one jurisdiction under a single family.

Of the 1,968 published records, 656 (33%) were granted and still in force at the point of retrieval. The remainder cover pending, withdrawn, refused, lapsed or not-determinable status, none of which is broken out separately here.

Records vs. families in scope
  1. STATE GRID CORPORATION OF CHINA37
  2. HUAZHONG UNIV OF SCI & TECH21
  3. ZHEJIANG UNIV OF TECH20
  4. NANJING UNIV OF AERONAUTICS & ASTRONAUTICS20
  5. SOUTHEAST UNIV19
  6. HEFEI UNIV OF TECH17
  7. SOUTH CHINA UNIV OF TECH16
  8. BEIJING INST OF TECH16
  9. NORTH CHINA ELECTRIC POWER UNIV16
  10. TIANJIN UNIV16

Ordered by volume only, not by importance or claim strength. Counted in simple (DOCDB) patent families, so one invention filed in several countries counts once. Names come from Patsnap's standardised assignee field as recorded on each document; subsidiaries and group companies are not merged. The icon before each name is read from the name itself (words such as University, Institute or Ltd); the data carries no organisation-type field, so treat it as a reading aid rather than a classification. 2 rows in this table share the name GRID (STATE GRID CORPORATION OF CHINA, GUIZHOU POWER GRID CO LTD). They are left as separate rows, so the largest-filer figure above is per legal entity, not per group. Rows that look related still cannot be added together: one family can name several of them. Counted one by one, those rows between them cover more than the largest single row does, so the largest single row is not necessarily the largest filer in this field. How much those rows cover together is not something this dataset can say: one family can name several of them, so their counts cannot be added. Every ranking statement on this page is per individual filer row, never per group. Filings held by named individuals rather than organisations are removed where they can be identified; that identification is not exhaustive, so an individually held filing can still appear below. Either way those filings stay inside the totals above. This table shows the top 30 of the 100 filers returned for this search; the data endpoint returns at most 100 entities, so even that 100 is not the complete set of filers. A single family can name more than one filer, so these counts overlap and do not add up to the total.

Source: Patsnap Eureka. Assignee ranking and totals. Derived from one Patsnap search for Genetic Algorithm Based Scheduling Optimization for Task Planning Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-15. Counts cover published records only and move as new filings publish.Run this in Eureka MCP

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Data

Filing volume and technology composition

The figures below are drawn directly from the search result set: a filing-trend series counted in published records, and an IPC breakdown counted in simple patent families.

Filing trend (published records, by earliest filing year)

Published records rose from 5 in 2007 to a peak so far of 525 in 2025, with 2018 to 2021 showing growth from 76 to 132 records (+74%). Records from 2022 onward are still filling in as later-filed applications continue to publish, so that stretch should not be read as a slowdown.

Filing trend (published records, by earliest filing year)0150300450600520072009201120132015201720192021202352520251592022 onwards are shaded as still filling in: a filing is only visible once it publishes, up to 30 months after filing.

Counted in published records by earliest filing year, not de-duplicated into families. A filing is counted in the year it was filed, but it only becomes visible after it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. 2022 onwards are therefore still filling in and are shaded; no growth figure on this page uses them. Because this series counts documents rather than inventions, a rise can mean more inventions or the same inventions filed in more countries; this dataset cannot separate the two. This chart covers 2007-2026 (1,938 records); the 1,968 total quoted above includes earlier filings outside the window.

IPC subclass composition (share of 1,802 families)

G06N (computing based on AI models) appears on 71.6% of the 1,802 families, G06Q (business, commerce & admin data processing) on 68.0%, and G06F (electric digital data processing) on 31.3%. Because one family can carry several IPC classes, these shares add up to more than 100%.

IPC subclass composition (share of 1,802 families)G06N · Computing based on AI models1,29071.6%G06Q · Business, commerce & admin dat…1,22568.0%G06F · Electric digital data processi…56431.3%H02J · Power supply & grid systems26614.8%G05B · Control & regulating systems1387.7%H04L · Digital information transmissi…975.4%H04W · Wireless communication networks351.9%G05D · Control of non-electric variab…331.8%Other34919.4%

Shares are the percentage of the 1,802 patent families in scope. One patent family can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from one Patsnap search for Genetic Algorithm Based Scheduling Optimization for Task Planning Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-15. Counts cover published records only and move as new filings publish.

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Example record

A record from the result set

First record returned
US20210133534A12021-05-06

Cloud task scheduling method based on phagocytosis-based hybrid particle swarm optimization and genetic algorithm

INNER MONGOLIA AGRICULTURAL UNIVERSITY

The record describes a cloud task scheduling method combining a Hybrid Particle Swarm Optimization and Genetic Algorithm (HPSOGA). It changes the update rules for particle position and speed in a standard particle swarm optimization, uses a fitness function and a load-balancing standard deviation to split particles into primary and secondary groups each generation, and applies phagocytosis mutation and crossover mutation to the resulting subpopulations to produce a cloud task scheduling scheme.This is the first record returned under the database's default ordering, not a ranking by citations, novelty or relevance. What its granted claims actually require has to be read from the claim set itself; an abstract and a family count cannot establish that.

US20210133534A1, patent drawing 1US20210133534A1, patent drawing 2
View full record

Selected as the first record the search returns under the database default order, then shown in full. It is not ranked by citations, claim breadth or commercial importance, and it is not a judgement about which filing in this space matters most.

Source: Patsnap Eureka. The first record the search returned, shown in full. Derived from one Patsnap search for Genetic Algorithm Based Scheduling Optimization for Task Planning Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-15. Counts cover published records only and move as new filings publish.Run this in Eureka MCP
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Key figures

Reading the numbers

Three figures from this search set the scale of the field as captured by this search string.

Filer concentration
2.1%
share of 1,802 families

Largest single filer row

STATE GRID CORPORATION OF CHINA is named on 37 of the 1,802 simple patent families in scope, a 2.1% share. Two further listed rows begin with a related name and are counted separately; they are not added to this figure.

Filer rows are not rolled up to corporate group.
Long tail
0 of 100
listed filers with 2 or fewer families

Spread across the listed filers

None of the 100 listed filer rows hold 2 or fewer simple patent families each, which indicates the listed rows sit above that threshold rather than clustering at the bottom of the range.

The data endpoint returns at most 100 entities; filings by named individuals are excluded from this list but remain in the totals.
Legal status
33%
of 1,968 records

Granted and in force

656 of the 1,968 published records (33%) were granted and still in force at the 2026-10-15 retrieval date. The remaining records cover pending, withdrawn, refused, lapsed or not-determinable status, not broken out individually here.

Legal status changes continuously and is not a measure of claim scope or quality.
Technology split
71.6% / 68.0%
share of 1,802 families, G06N / G06Q

AI-model and business-process classes

G06N (computing based on AI models) and G06Q (business, commerce & admin data processing) appear on 71.6% and 68.0% of the 1,802 families respectively, each ahead of G06F's 31.3%. One family can carry more than one of these classes, so the shares overlap and add up to more than 100%.

88 IPC subclasses are represented in total across the dataset.
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Source: Patsnap Eureka. Derived observations on the same dataset. Derived from one Patsnap search for Genetic Algorithm Based Scheduling Optimization for Task Planning Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-15. Counts cover published records only and move as new filings publish.Run this in Eureka MCP
What's next

Where to take this

The figures here describe what this search returned. Turning them into a filing or freedom-to-operate view takes a closer read of the underlying claim sets.

Read the granted claims directly

Family counts and abstracts describe subject matter, not claim scope. Decisions about a specific design or method need the actual claim language from the relevant filings.

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Track the filer rows individually

Because rows are not rolled up to corporate group, tracking any filer's activity over time means pulling that exact row name rather than assuming related-looking names are one entity.

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Watch the incomplete years fill in

Records filed from 2022 onward are still publishing. Re-checking the trend in a future period will give a fuller picture of those years than this snapshot can.

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Source: Patsnap Eureka. Suggested next steps. No new data: every figure named here is one of those above. Derived from one Patsnap search for Genetic Algorithm Based Scheduling Optimization for Task Planning Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-15. Counts cover published records only and move as new filings publish.Run this in Eureka MCP
FAQ

Common questions

Answers are grounded in the same dataset. Derived from one Patsnap search for Genetic Algorithm Based Scheduling Optimization for Task Planning Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-15. Counts cover published records only and move as new filings publish.Run this in Eureka MCP

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How this page was built, and what the numbers do and do not mean

Search. Every figure on this page comes from one Patsnap search, run once and not edited afterwards. This is the exact search string:

TAC:(("genetic algorithm") AND scheduling AND (optimization OR planning))

Reading the field codes: TAC searches the title, abstract and claims of each record, not the full description. The search string sets no date limit, so the scope is every matching record in the database regardless of when it was filed. It is not restricted to recent years. How this string was built matters for how far the counts can be pushed. It was generated in batch from a topic list rather than hand-crafted for this page, and the result set is not manually screened. A keyword search over title, abstract and claims both over-captures (unrelated filings that happen to use the same words) and under-captures (the same invention written in different words). This page cannot measure either effect, so read every figure here as what this particular string returned, not as what exists in the field. One subclass (G06N) carries 71.6% of the patent families, so this search returned a classification-tight set.

What is being counted. Two different units appear on this page and they are not interchangeable. The filer list and the technology split are counted in simple (DOCDB) patent families: one invention counts once however many countries it was filed in. The total, the jurisdiction split and the filing-year chart are counted in published records: the same invention counts once per publication. For this search that is 1,968 records and 1,802 families. Record counts reward filing in many jurisdictions; family counts do not. Shares are only ever taken against a denominator in the same unit, and each one names it.

Who the filers are. Names come from Patsnap's standardised assignee field, as recorded on the documents themselves. They are not rolled up to corporate group: a parent and its subsidiaries appear as separate entries, and a portfolio acquired from another company stays under the name on the document unless the assignment is reflected there. This list is meant to carry organisations, not people. Filings held by a named individual are identified by matching the assignee against the inventors on the same search, and, for names written in Chinese, Japanese or Korean characters, by the name carrying no organisational suffix; those are removed from the list. Neither test is exhaustive: the inventor list it matches against is itself capped, and a personal name written in Latin script with no organisational wording in it cannot be told apart from a short company name by rule. So an individually held filing can still appear in the list. Those filings stay inside every total and share on this page either way, so the listed entries can add up to less than the total. A record shown in full further down still names its assignee exactly as the patent office records it, including where that is a person: that name is how the record is identified and checked. What is left out of the ranking is people as ranked entries, not people as cited sources. The table shows the top 30 of the 100 filers returned, ordered by count alone; the data endpoint returns at most 100 entities, so even that 100 is not every filer. One patent family can name several filers and each is counted separately, so these rows are not slices of a divided whole: adding them together over-counts, and this page deliberately publishes no combined "top five" share for that reason. See every filer, individuals included

Dates. The year chart counts by earliest filing year, not publication year. A filing only becomes visible once it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. Measured across these pages, the year four back from today still holds only about 89% of its eventual count. 2022 onwards are therefore shaded on the chart as still filling in, and the growth figure stops at 2021. The data behind this page was retrieved on 2026-10-15.

Legal status. "In force" counts documents whose legal status at retrieval was granted and maintained (656 of 1,968). Everything else is pending, withdrawn, refused, lapsed or not determinable, and those states are not broken out here because the underlying codes do not separate them cleanly. Legal status changes continuously and is reported per document, not per family. Get the status breakdown in Eureka

Classification. The technology split uses IPC subclasses (four characters, for example H01M). A single record usually carries several, so the shares add up to more than 100% and a record can appear in more than one bar. Subclass is a coarse grouping; it describes the field a record was classified into, not what the claims cover. Break the classes down to subgroup level

Who wrote the words. The tables, charts, counts, shares and patent numbers on this page are produced directly from the search result by a program; none of them are written or estimated by a language model. The surrounding prose, headings, FAQ answers and the answers in the question panel are drafted by a language model that is given those same figures and is not permitted to introduce others. Prose can still mis-describe a correct figure, so where the two disagree, the tables and charts are the record.

Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries limitations that apply to every figure above. Recent filings are under-counted, because an application is not public until roughly 18 months after filing and database loading adds further delay. The search string defines and constrains everything shown: records that use different terminology, or that sit outside the fields searched, are absent and cannot be counted. Applicant names, classification codes, legal-status codes and citation records are taken as recorded and may contain errors, duplicates, omissions or stale entries. Ordering by volume is not a measure of quality, scope, enforceability or commercial value, and a larger portfolio is not a stronger one. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, validity or infringement search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. No attorney-client relationship is created by it. Any patent, commercial, or strategic decision should be verified independently against the primary records and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

The question panel. The answers behind the suggested questions on this page were written when the page was generated, not in response to your click. The progress steps that play before an answer appears are an animation of how that analysis was done; nothing is being searched or computed at that moment. Typing your own question instead opens Patsnap Eureka, which does run it live.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.

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