Genetic Algorithm based alternatives
Stochastic search techniques based on the mechanism of natural selection and natural genetics, different from conventional search techniques
A robust solution tool for many difficult-to-solve problems, such as non-linear, complicated multi-local suboptima, discontinuities which are not being able to be solved by conventional heuristics and optimisation techniques effectively
The matter of location-allocation problems originally contains massive combinatorial problems and is difficult to be solved by conventional heuristics
GA’s main vocabulary
- Chromosomes (string, individual), Genes, Locus, Allels, Phenotye, Genetype
- Crossover, Mutation, Selection, Reproduction, Generation, Fitness values