$1\mathrm{.}5$ MATLAB Integration

To simulate and optimize the drone's trajectory, MATLAB can be used to implement algorithms that consider dynamic constraints and environmental conditions.

MATLAB Task: Implement a Genetic Algorithm using MATLAB's ga function to find the optimal path considering energy consumption and no$-$fly zones.Further Exploration:

Modify the objective function to include wind resistance.

Explore the effects of different population sizes and generation counts on the solution's accuracy and computation time.

Integrate a model for no$-$fly zones as constraints in the optimization problem.

$2$ Path Planning for an Autonomous Car

$2\mathrm{.}1$ Scenario Description

Optimize the route for an autonomous car to minimize both travel time and fuel consumption, adapting to varying traffic and road conditions.

$2\mathrm{.}2$ Model Setup and System Parameters

Car Specifications:

Average speed: $60k\frac{m}{h}$ on highways, $30k\frac{m}{h}$ in urban areas.

Fuel efficiency: $5\frac{L}{100}km$ on highways, $7\frac{L}{100}km$ in urban areas.

Environment:

Mixed urban and highway environments.

Dynamic traffic conditions and potential road closures

Note :please solve as case study and show us a screenshot for matlab solutions.