A contour plot of the search space in the context of metaheuristic techniques provides a visual representation of the landscape formed by the objective function being optimized. It is a graphical tool that helps researchers and practitioners understand the characteristics of the problem space and analyze the behavior of the metaheuristic algorithm within that space.

Here's how a contour plot of a search space is typically generated and interpreted in the context of metaheuristic techniques:

The contour plot of the search space can provide valuable information about the problem landscape, guide the selection and fine-tuning of metaheuristic techniques, and aid in the interpretation of optimization results. It allows researchers to gain insights into the behavior and performance of the algorithm within the problem space, facilitating informed decision-making during the optimization process.

Thank you for your valuable reply.

For scalable functions, it is useful to plot function values for two variables (within the search range). This will give us an idea of whether the search space is unimodal or multimodal. If you will take the projection of the 3d plot it will give you a contour plot. It can be done in MATLAB easily.