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A novel distributed genetic algorithm implementation with variable number of islands

## Modified Double Sum

## Two dimensional view |
## One dimensional view |

## Function

## Latex

A minimization problem:

$$f(x_1 \cdots x_n) = \sum_{i=1}^n (\sum_{j=1}^i (x_j - j)^2)$$

$$-10.24 \leq x_i \leq 10.24$$

$$\text{minimum at }f(1, 2, 3, \cdots, n) = 0$$

## Python

def fitnessFunc(self, chromosome): """F4 Modified double sum unimodal, asymmetric, inseparable""" fitness = 0 for i in range(len(chromosome)): for j in range(i+1): fitness += (chromosome[j] - (j+1))**2 return fitness

## Sources

The following may or may not contain the originator of this function.A novel distributed genetic algorithm implementation with variable number of islands

@inproceedings{varIslandNum07, author = {Takuma Jumonji and Goutam Chakraborty and Hiroshi Mabuchi and Masafumi Matsuhara}, title = {A novel distributed genetic algorithm implementation with variable number of islands}, booktitle = {IEEE Congress on Evolutionary Computation}, year = {2007}, pages = {4698--4705}, doi = {10.1109/CEC.2007.4425088}, masid = {4737000} }