Abstract: Genetic Algorithms are a powerful search technique based on the mechanics of natural selection and natural genetics that are used successfully to solve problems in many different disciplines.

In this paper we present genetic algorithms in one of the most important optimization problems in computer science, database query optimization for large join query.

Current query optimization techniques are inadequate to support some of the emerging database application. In this paper, we outline a database query optimization problem and describe the adaptation of genetic algorithm. And comparison between simple SQL queries having five join and same query using genetic approach. And also give basic overview of the Carquinyoli Genetic Optimizer based on Genetic Programming.

Keywords: Genetic Algorithms, Query Optimization.

Summary: In this paper was considered the task of optimization algorithms of individual training schedules to solve the problem of student time management. Investigated the optimal use of genetic algorithms for solving the problem of multi-criteria optimization schedule of the educational process.

Key Words: optimization algorithms, genetic algorithm, a schedule, a fitness function, simulated annealing, a greedy algorithm.