Introduction to methods of optimization and decision-making. The application is illustrated by examples of solving optimization tasks in civil engineering and geodesy. Preparing students for solving problems of optimization of the real system engineering problems.

Knowledge of the optimization methods. Competence of students to apply the methods to solve real engineering optimization tasks.

Introduction. The objectives. Basic concepts. Introduction to optimization. Overview of the methods of optimization. Optimization methods in discrete space. Introduction to graph theory. Methods for graph search. Minimum spanning tree, finding the shortest path, determining the maximum optimization methods in continuous space. Linear and nonlinear programming. Multi-criteria optimization. Review of methods for mulit-criterial optimization. A compromise solution. Examples of methods for multiple criteria optimization. Methods of global optimization. Genetic algorithms.
Formulation of tasks for seminar papers.