Optimization Methods
Initial situation
A lot of practical problems are difficult insofar as they are too complex to be solved within reasonable time. A lot of optimization tools are part of this problem area. For practical applications it often suffices to come close to the actual solution. Several optimization modules are at hand.
Genetic Algorithms (GA)
Genetic Algorithms are search methods which imitate optimization strategies as they can be observed in nature. These strategies are abstracted and adapted to the problem to be solved. GAs operates following the principles of biological evolution (Darwinism). A number of candidates representing possible solutions are created as an initial population, which subsequently undergoes a simulated evolution. The solution candidates reproduce and are exposed subjected to a selection pressure with the effect that the quality of the best individual improves (or at least does not deteriorate) as evolution is proceeding from generation to generation.
Realisierte und laufende Projekte
- Routenplanung für Inspektionsfahrten
- Optimierung von Projektplänen
- Optimierung von Fussgängerströmen
- Optimierung von Stanzwerkzeugen
- Generator von graphischen Logos