В дипломной работе рассматривается

В дипломной работе рассматривается комбинированный алгоритм для решения задачи размещения компонентов СБИС. В состав комбинированного алгоритма входит работа двух алгоритмов: генетического алгоритма и биоинспирированного. Разработан роевой алгоритм размещения компонентов СБИС основанный на поведении стаи летучих мышей. Рассмотрены существующие алгоритмы, принцип их работы, а также их применение для улучшения решения задачи размещения.
Произведены экспериментальные исследования, в результате которых были получены данные, подтверждающие теоретические разработки. Также приведен сравнительный анализ разработанного алгоритма с другими существующими алгоритмами размещения.
Рассмотрено технико-экономическое обоснование. Учтены вопросы безопасности и экологичности работы.

Результаты (английский) 1:

The thesis examines the combined algorithm for solving the problem of placement of VLSI components. The composition of combined algorithm includes two algorithms: genetic algorithm and bioinspirirovannogo. Developed a swarm algorithm for VLSI placement based on the behavior of swarms of bats. Considered existing algorithms, how they work, and how to use them to improve the solving the problem of accommodation. Made experimental studies which have received data confirming the theoretical development. It also provides a comparative analysis of the developed algorithm with other existing placement algorithms. Examined feasibility study. Take into account the security considerations and environmental work.

Результаты (английский) 2:

The research paper examines the combined algorithm for solving the problem of accommodation of VLSI components. The composition of the combined work of the algorithm includes two algorithms: genetic algorithms and bioinspired. A swarm algorithm VLSI component placement based on the behavior of swarms of bats. The existing algorithms, how they work, as well as their application to improve solving the location problem.
The experimental study, which resulted in evidence theoretical developments have been received. Also, the comparative analysis of the developed algorithm with existing algorithms accommodation.
Considered a feasibility study. Takes into account the safety and environmental performance.

Результаты (английский) 3:

the thesis work is an algorithm for the task of placing the components сбис. the combined algorithm is the work of two algorithms: genetic algorithm and биоинспирированного. a swarm algorithm based on the behavior of the components сбис colonies of bats. the existing algorithms, the principle of work, as well as their application to improve the task placement.by experimental studies, which have received the data, confirming the theoretical development. also contains a comparative analysis of the algorithm with other existing placement algorithms.discussed the feasibility study. take into account the questions of safety and environmental performance.