# {py:mod}`evox.algorithms.mo.hype`

```{py:module} evox.algorithms.mo.hype
```

```{autodoc2-docstring} evox.algorithms.mo.hype
:allowtitles:
```

## Module Contents

### Classes

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`HypE <evox.algorithms.mo.hype.HypE>`
  - ```{autodoc2-docstring} evox.algorithms.mo.hype.HypE
    :summary:
    ```
````

### Functions

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`cal_hv <evox.algorithms.mo.hype.cal_hv>`
  - ```{autodoc2-docstring} evox.algorithms.mo.hype.cal_hv
    :summary:
    ```
````

### API

````{py:function} cal_hv(fit: torch.Tensor, ref: torch.Tensor, pop_size: int, n_sample: int)
:canonical: evox.algorithms.mo.hype.cal_hv

```{autodoc2-docstring} evox.algorithms.mo.hype.cal_hv
```
````

`````{py:class} HypE(pop_size: int, n_objs: int, lb: torch.Tensor, ub: torch.Tensor, n_sample: int = 10000, selection_op: typing.Optional[typing.Callable] = None, mutation_op: typing.Optional[typing.Callable] = None, crossover_op: typing.Optional[typing.Callable] = None, device: torch.device | None = None)
:canonical: evox.algorithms.mo.hype.HypE

Bases: {py:obj}`evox.core.Algorithm`

```{autodoc2-docstring} evox.algorithms.mo.hype.HypE
```

```{rubric} Initialization
```

```{autodoc2-docstring} evox.algorithms.mo.hype.HypE.__init__
```

````{py:method} init_step()
:canonical: evox.algorithms.mo.hype.HypE.init_step

```{autodoc2-docstring} evox.algorithms.mo.hype.HypE.init_step
```

````

````{py:method} step()
:canonical: evox.algorithms.mo.hype.HypE.step

```{autodoc2-docstring} evox.algorithms.mo.hype.HypE.step
```

````

`````