nuget
A function wrapper for calculate genome fitness in current environment.
(描述了如何从将目标染色体计算为fitness，从而能够量化突变带来的的优点)
Fitness
Type Parameters
| Name | Description |
|---|---|
Chr | 这个泛型类型应该是集成至Chromosome,但是为了兼容 |
01 Syntax
Microsoft.VisualBasic.MachineLearning.Darwinism.GAF.Fitness`1
02 Methods
| Name | Overloads | Summary |
|---|---|---|
| Calculate | 1 | Assume that chromosome1 is better than chromosome2 vbnet fit1 = calculate(chromosome1) fit2 = calculate(chromosome2) So the following condition must be true: vbnet fit1… |
03 Properties
| Name | Overloads | Summary |
|---|---|---|
| Cacheable | 1 | 这个计算模块是否会缓存计算结果? |
04 Members
Calculate(
`0, Boolean)Assume that chromosome1 is better than chromosome2
fit1 = calculate(chromosome1)
fit2 = calculate(chromosome2)So the following condition must be true:
fit1.compareTo(fit2) <= 0(假若是并行模式的之下，还要求这个函数是线程安全的)
Remarks
smaller value is better
Parameters
| Name | Type | Description |
|---|---|---|
parallel | `0 | 在计算函数的内部是否是应该是并行的? 应该遵循以下的准则:
|
Cacheable
这个计算模块是否会缓存计算结果?
Remarks
the result is cached by the unique id of the target chr