If I run my code multiple times, everytime the number of generations that the program takes to converge are very different. Without changing anything, the generations are anywhere from 500 to 2700. I know that since the genetic algorithm runs randomly, the solution will be different everytime. But, shouldn't the number of generations be close and not so spread out? Thanks
MATLAB: What is the repeatability like in matlabs genetic algorithm
gagenetic algorithmGlobal Optimization Toolboxoptimizationrepeatability
Related Question
- What does it mean to supply a “partial” initial population to “gaoptimset” in the Global Optimization Toolbox (R2010a and later)
- How to view the automatically generated initial population from GA in Global Optimization Toolbox
- How to implement an equality and inequality constraint
- How can i Use GA in MATLAB to train a neural network
- Genetic Algorithm stops after few iterations when constraints are added
Best Answer