landscapeGeneratorUNI {CEGO} | R Documentation |

## Unimodal Fitness Landscape

### Description

This function generates uni-modal fitness landscapes based on distance measures.
The fitness is the distance to a reference individual or center. Hence, the reference individual
is the optimum of the landscape. This function is essentially a wrapper
for the `landscapeGeneratorMUL`

### Usage

```
landscapeGeneratorUNI(ref, distanceFunction)
```

### Arguments

`ref` |
reference individual |

`distanceFunction` |
Distance function, used to evaluate d(x,ref), where x is an arbitrary new individual |

### Value

returns a function. The function requires a list of candidate solutions as its input, where each solution is suitable for use with the distance function. The function returns a numeric vector.

### References

Moraglio, Alberto, Yong-Hyuk Kim, and Yourim Yoon. "Geometric surrogate-based optimisation for permutation-based problems." Proceedings of the 13th annual conference companion on Genetic and evolutionary computation. ACM, 2011.

### See Also

`landscapeGeneratorMUL`

, `landscapeGeneratorGaussian`

### Examples

```
fun <- landscapeGeneratorUNI(ref=1:7,distancePermutationCos)
## for single solutions, note that the function still requires list input:
x <- 1:7
fun(list(x))
x <- 7:1
fun(list(x))
x <- sample(7)
fun(list(x))
## multiple solutions at once:
x <- replicate(5,sample(7),FALSE)
fun(x)
```

*CEGO*version 2.4.3 Index]