Weasel Program
Weasel program is a good point to start thinking about behavioural evolution of manufacturing companies. Let say, -hypothetically- we have a company which is producing some products with a set of tools (i.e. best practices). This toolset includes limited number of tools (say genomes) and called genetic combination. Accordingly, this company is being exist in a limited business environment. The business environment has a limited set of environmental factors (e.g. common industrial best practices' requirements), called environmental set. In each step, the company evolves and try to adapt to the environment. As a beginning, we can imagine that the environment can be in one of two different state in the proposed model of simulation: (1) Environmental set is not changing, it is in a steady state; (2) Environmental set is changing randomly in each step, it is in a transient period. I am going to call these two situations as scenarios.
A "Weasel" style algorithm could run as follows.
GC¹ | E² | ||||||
---|---|---|---|---|---|---|---|
Step | 1. Child | 1. Mutant³ | 1. Score | 2. Child | 2. Mutant | 2. Score | Reference set |
0 | ABCD | ZZZZ | |||||
1 | ABCD | CZTU | 1 | ABCD | KLOP | 0 | ZZZZ |
2 | CZTU | LZFG | 1 | CZTU | AWZZ | 2 | ZZZZ |
. | . | . | . | . | . | . | . |
. | . | . | . | . | . | . | . |
119 | PKTL | ZZZZ | 4 | PKTL | ZZJZ | 3 | ZZZZ |
120 | ZZZZ | 4 | ZZZZ |
¹ Genetic combination of the company. ² Environmental set. ³ Mutant: Mutated child.
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