Optimization Parameters

Core Parameters

Number of Plies

Analysis Label (optional) Optional label to identify this analysis run

Allowed Ply Types

CSM (Chopped Strand Mat)

Rovimat

BDplus (Bidirectional)

Qx (Quadraxial)

DBx (Diagonal Bidirectional)

Note: CSM and Rovimat are required for face plies

Panel Dimensions

Length (mm) Length must be ≥ 2 × Width

Width (mm) Width must be ≤ Length/2

Pressure (kN/m²)

Fixed Composition Mode

Enable Fixed Composition Mode

When enabled, you specify exact ply types for each layer. The GA will only optimize Fiber Areal Weight (wf) and Fiber Mass Fraction (fmf) parameters.

Custom Ply Configuration

Enable Custom Configuration

Configure shipyard-specific ply types, fmf ranges and wf values

Default Values (for reference)

Ply Type	Default wf values (kg/m²)	Default fmf Range
CSM	0.150, 0.200, 0.225, 0.300, 0.450, 0.600, 0.900
BDplus	0.400, 0.450, 0.500, 0.600, 0.800, 0.875, 0.900, 1.000, 1.200
Qx	0.600, 0.800, 1.200	0.30 - 0.45 (step 0.01)
Rovimat	0.600, 0.625, 0.640, 0.675, 0.690, 0.750, 0.800, 0.825, 0.900, 0.950, 1.000, 1.025, 1.100, 1.200
DBx	0.400, 0.450, 0.500, 0.600, 0.800, 0.875, 0.900, 1.000, 1.200

Custom Areal Weight (wf) Define custom wf values for individual ply types. Uncustomized types will use default values.

Enter comma-separated wf values

Custom Fiber Mass Fraction (fmf) Define your own fiber mass fraction range

Min FMF

Max FMF

Step Size

Custom Configuration: You can customize wf values for individual ply types. Uncustomized types will use default values. You can also set custom FMF ranges. Material properties remain unchanged for accurate structural analysis.

Advanced Parameters

Click to expand/collapse technical settings

Genetic Algorithm Settings

Population Size

Population Size:

Number of laminate designs in each generation. Higher values provide better exploration but increase computation time. Low values may converge too quickly to suboptimal solutions.

Suggested Range: 50-200

Crossover Probability

Crossover Probability:

Probability that parents will produce offspring through genetic recombination. High values accelerate convergence but may reduce diversity. Low values maintain diversity but slow convergence.

Suggested Range: 0.7-0.9

Max Evaluations

Max Evaluations:

Maximum number of laminate evaluations before optimization stops. Higher values allow better convergence but increase computation time. Low values may stop optimization prematurely.

Suggested Range: 5,000-15,000

Selection Probability

Selection Probability:

Controls selection pressure in tournament selection. High values favor better individuals more strongly, accelerating convergence but potentially reducing diversity. Low values add diversity but increase the chance of missing good individuals.

Suggested Range: 0.5-0.8

Mutation System

Dominance Bias 0.0 = CF marginality, 1.0 = weight driven dominance

Mutation Probability Chance for each layer to mutate (FMF, WF, ply type)

Ply Type Mutation Probability Chance for ply type mutation in each layer (0.0 = no ply type changes, 1.0 = always change ply type)

Optimization in Progress...

This may take several minutes depending on the parameters.

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Optimal Weight (kg)

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Thickness (mm)

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Violations

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Over Compliance

Optimization Plot

Click on any point to view the laminate composition for that generation

Tip: Click on any generation point in the chart above that looks interesting to you! You can then mark it as a favorite using the star button to save it for later comparison. This helps you explore different design alternatives and find the most suitable solution for your specific needs.

Optimal Laminate Stack

Ply #	Type	Fiber Weight (kg/m²)	Total Weight (kg/m²)	Thickness (mm)	Fiber Mass Fraction	cf_m	cf_T	Status
Total Weight:		-	-	-

Safe*: The last ply (bottom surface) exhibits infinite cf_T values due to shear flow approaching zero at the surface. This mathematical singularity does not indicate structural failure but rather represents the theoretical limit where shear stress becomes negligible.

Optimization Note: Genetic algorithms employ stochastic search mechanisms that may converge to local optima. While the presented solution represents the best result from this optimization run, conducting multiple independent runs may yield alternative solutions with different characteristics or potentially superior performance metrics. This approach is recommended for comprehensive design space exploration.

Generation - Laminate Stack

Ply #	Type	Fiber Weight (kg/m²)	Total Weight (kg/m²)	Thickness (mm)	Fiber Mass Fraction	cf_m	cf_T	Status
Total Weight:		-	-	-

Composite Panel Optimizer

System Status: Checking...