Optimization tasks involve finding the best solution from a set of possible options. These tasks are common in various fields, such as mathematics, computer science, and engineering. The goal is to maximize or minimize a specific objective, like cost, time, or efficiency, while adhering to certain constraints. In practical applications, optimization tasks can be seen in areas like logistics, where companies aim to reduce shipping costs, or in finance, where investors seek to maximize returns on their portfolios. Techniques such as linear programming and genetic algorithms are often used to solve these complex problems effectively.