opytimizer.optimizers.science.teo

Thermal Exchange Optimization.

class opytimizer.optimizers.science.teo.TEO(params: Optional[Dict[str, Any]] = None)

A TEO class, inherited from Optimizer.

This is the designed class to define TEO-related variables and methods.

References

A. Kaveh and A. Dadras. A novel meta-heuristic optimization algorithm: Thermal exchange optimization. Advances in Engineering Software (2017).

__init__(params: Optional[Dict[str, Any]] = None) → None

Initialization method.

Parameters:params – Contains key-value parameters to the meta-heuristics.

c1

Random step size control.

c2

Randomness control.

pro

Cooling parameter.

n_TM

Size of thermal memory.

TM

Thermal memory.

environment

Environmental population.

compile(space: opytimizer.core.space.Space) → None

Compiles additional information that is used by this optimizer.

Parameters:space – A Space object containing meta-information.

update(space: opytimizer.core.space.Space, iteration: int, n_iterations: int) → None

Wraps Thermal Exchange Optimization over all agents and variables.

Parameters:

• space – Space containing agents and update-related information.
• iteration – Current iteration.
• n_iterations – Maximum number of iterations.