Fitness
Diversity
Improvement
X-Log
Landscape:
🟢 Sphere
🟢 Booth's
🟢 Matyas
🟡 Ackley
🟡 Himmelblau's
🟡 Beale
🟡 Goldstein-Price
🟡 Lévi No.13
🟡 Three-Hump Camel
🔴 Rastrigin
🔴 Rosenbrock
🔴 Bukin No.6
🔴 Easom
🔴 Cross-in-Tray
🔴 Eggholder
Goal:
Minimize
Maximize
GA
ES
Standard GA
Steady-State GA
Microbial GA
Differential Evolution
Particle Swarm (PSO)
Standard ES
(μ, λ)-ES
(μ + λ)-ES
CMA-ES
Simulated Annealing
View:
Population
Input/Output
Settings
Graphics & Performance
Landscape Resolution:
150
Point Size:
1.0
Show Contour Lines
Landscape Parameters
Landscape Scale:
200
Initial Spawn Range (%):
100
This function has no tunable parameters.
a (Amplitude):
20
b (Width):
0.2
A (Frequency):
10
Colors
Landscape (High)
Landscape (Low)
Contours
Vector (High)
Vector (Low)
Apply & Reset
Start
Pause
Reset
Generation
0
Speed (Gen/s):
5
Population Size:
100
Mutation Rate:
0.10
Variance / σ:
0.50
Inertia (w):
0.7
Initial Temp:
1000
Boltzmann Temp:
0.1
Truncation %:
50
Tournament Size:
5
Weight (F):
0.8
Crossover (CR):
0.9
Elite Size (%):
5
Parents (μ):
50
Blend Alpha (α):
0.5
SBX Index (η):
15
Selection
Tournament
Roulette Wheel
Stochastic Universal
Rank
Boltzmann
Truncation
Arithmetic Alpha (α):
0.5
Crossover
Single-Point
Two-Point
Uniform
Arithmetic
Blend (BLX-α)
Simulated Binary (SBX)