INFORACTIVE
Reinforced Genetic Algorithm
Foundation platform

Charles Darwin

“In the end, the species that survives is not the strong species or the intelligent species. Strongly, the species that survives is the one that adapts best to change.”

찰스 다

"결국 살아 남는 종은 강인한 종도 아니고, 지적 능력이 뛰어난 종도 아니다. 종국에 살아 남는 것은 변화에 가장 잘 적응하는 종이다.“

Genetic Algorithm = Genetic Algorithm

What is a genetic algorithm ” Imitating the evolutionary system of the natural world metaheuristic algorithmsUsed to solve complex optimization problems with”,
‍deep learning Set initial weights, and machine learning It can be used to solve problems, INFORACTIVE PLATFORM Top In-house manufacturing, production, sales, and cost optimization scheduling using generative AI
(= Enterprise P Lanning & Simulation) Use as an ideological basis for derivation

Parameter Definition

Genetic algorithm flowchart

Define parameters for
genetic algorithms

(Set initial deep learning values)

How to express a generation

Matrix structure binary vector

Select the largest number of households

Generation N (parent to child n generation)

End conditions

Run the algorithm until the maximum number of generations is reached

Selection of numbers, including by household

For example, selected as 20 per generation

Cross operator settings

1-point intersecting arithmetic

Mutation operators

Flipbit calculation
(Derive optimal function after iteratively modifying vector elements)

Cross ratio

Fit function

Functional equations (0 if constraints are not satisfied)

Mutation rate selection

For example, select a Mutant object ratio of 20%

Global optimization values

The function F (x) is the minimum value of F (x) according to the X value
When it comes to (in other words, optimization values), it is almost always impossible to draw the above graph itself. (It is also very common for differentiation itself to be impossible)

purchasing, production, Sales areas, logistics optimization, lead time optimization, cost simulation.
Having the ability to optimize and functionally implement techniques is important.

‍Data that mostly exists in ERP system.

Deriving optimization values through Python function coding

Best Solution

INFORACTIVE
Platform Philosophy

INFORACTIVE
Reinforced Genetic Algorithm
Foundation platform

Charles Darwin

찰스 다

Genetic Algorithm = Genetic Algorithm

INFORACTIVE

Oilfield Using algorithms
Management decisions for all companies
Planning & Simulation through the “INFORACTIVE Platform”

Parameter Definition

Genetic algorithm flowchart

Define parameters for
genetic algorithms

Global optimization values

purchasing, production, Sales areas, logistics optimization, lead time optimization, cost simulation.
Having the ability to optimize and functionally implement techniques is important.

‍Data that mostly exists in ERP system.

Deriving optimization values through Python function coding

INFORACTIVE
Simulation

SBT Global News

Solutions Beyond
Technologies

INFORACTIVEPlatform Philosophy

INFORACTIVEReinforced Genetic AlgorithmFoundation platform

Charles Darwin

찰스 다

Genetic Algorithm = Genetic Algorithm

INFORACTIVE

Oilfield Using algorithms Management decisions for all companiesPlanning & Simulation through the “INFORACTIVE Platform”

Parameter Definition

Genetic algorithm flowchart

Define parameters for genetic algorithms

Global optimization values

purchasing, production, Sales areas, logistics optimization, lead time optimization, cost simulation. Having the ability to optimize and functionally implement techniques is important. ‍Data that mostly exists in ERP system.

Deriving optimization values through Python function coding

INFORACTIVE Simulation

SBT Global News

Solutions BeyondTechnologies

INFORACTIVE
Platform Philosophy

INFORACTIVE
Reinforced Genetic Algorithm
Foundation platform

Oilfield Using algorithms
Management decisions for all companies
Planning & Simulation through the “INFORACTIVE Platform”

Define parameters for
genetic algorithms

purchasing, production, Sales areas, logistics optimization, lead time optimization, cost simulation.
Having the ability to optimize and functionally implement techniques is important.

‍Data that mostly exists in ERP system.

INFORACTIVE
Simulation

Solutions Beyond
Technologies