<p>In the field of systems biology the task of finding optimal model parameters is a common procedure. The optimization problems encountered are often multi-modal, i.e., with several local optima. In this thesis, a class of algorithms for multi-modal problems called metaheuristics are studied. A downside of metaheuristic algorithms is that they are dependent on algorithm settings in order to yield ideal performance.This thesis studies an approach to tune these algorithm settings using user constructed test functions which are faster to evaluate than an actual biological model. A statistical procedure is constructed in order to distinguish differences in performance between different configurations. Three optimization algorithms are examined closer, namely, scatter search, particle swarm optimization, and simulated annealing. However, the statistical procedure used can be applied to any algorithm that has configurable options.The results are inconclusive in the sense that performance advantages between configurations in the test functions are not necessarily transferred onto real biological models. However, of the algorithms studied a scatter search implementation was the clear top performer in general. The set of test functions used must be studied if any further work is to be made following this thesis.In the field of systems biology the task of finding optimal model parameters is a common procedure. The optimization problems encountered are often multi-modal, i.e., with several local optima. In this thesis, a class of algorithms for multi-modal problems called metaheuristics are studied. A downside of metaheuristic algorithms is that they are dependent on algorithm settings in order to yield ideal performance.</p><p>This thesis studies an approach to tune these algorithm settings using user constructed test functions which are faster to evaluate than an actual biological model. A statistical procedure is constructed in order to distinguish differences in performance between different configurations. Three optimization algorithms are examined closer, namely, scatter search, particle swarm optimization, and simulated annealing. However, the statistical procedure used can be applied to any algorithm that has configurable options.</p><p>The results are inconclusive in the sense that performance advantages between configurations in the test functions are not necessarily transferred onto real biological models. However, of the algorithms studied a scatter search implementation was the clear top performer in general. The set of test functions used must be studied if any further work is to be made following this thesis.</p>

In the field of systems biology the task of finding optimal model parameters is a common procedure. The optimization problems encountered are often multi-modal, i.e., with several local optima. In this thesis, a class of algorithms for multi-modal problems called metaheuristics are studied. A downside of metaheuristic algorithms is that they are dependent on algorithm settings in order to yield ideal performance.This thesis studies an approach to tune these algorithm settings using user constructed test functions which are faster to evaluate than an actual biological model. A statistical procedure is constructed in order to distinguish differences in performance between different configurations. Three optimization algorithms are examined closer, namely, scatter search, particle swarm optimization, and simulated annealing. However, the statistical procedure used can be applied to any algorithm that has configurable options.The results are inconclusive in the sense that performance advantages between configurations in the test functions are not necessarily transferred onto real biological models. However, of the algorithms studied a scatter search implementation was the clear top performer in general. The set of test functions used must be studied if any further work is to be made following this thesis.In the field of systems biology the task of finding optimal model parameters is a common procedure. The optimization problems encountered are often multi-modal, i.e., with several local optima. In this thesis, a class of algorithms for multi-modal problems called metaheuristics are studied. A downside of metaheuristic algorithms is that they are dependent on algorithm settings in order to yield ideal performance. This thesis studies an approach to tune these algorithm settings using user constructed test functions which are faster to evaluate than an actual biological model. A statistical procedure is constructed in order to distinguish differences in performance between different configurations. Three optimization algorithms are examined closer, namely, scatter search, particle swarm optimization, and simulated annealing. However, the statistical procedure used can be applied to any algorithm that has configurable options. The results are inconclusive in the sense that performance advantages between configurations in the test functions are not necessarily transferred onto real biological models. However, of the algorithms studied a scatter search implementation was the clear top performer in general. The set of test functions used must be studied if any further work is to be made following this thesis.

This diploma thesis focuses on the design and production technology of making pattern and core box by milling. The theoretical part summarizes the issue of production models, CAD / CAM technology and milling technology. The practical part is elaborates engineering design of machined parts focused on the specific requirements for application in the foundry. For designing of milling technology was used CAM system. This milling technology was programmed and optimized. Parts are finally produced on 3-axis milling machine. In the end there is technical-economic evaluation of production and discussion of results.

Магистерская диссертация посвящена открытию ООО «МОДОС» Магистерская диссертация содержит введение, 3 главы, заключение, библиографию и приложения. ООО Модос» - предприятие, специализирующееся на конструировании и изготовлении моделей и стержневых ящиков для литейных предприятий, использующих химически твердеющие смеси. Существующий рынок был проанализирован. В настоящее время много предприятий нуждаются в данном продукте, поскольку растет спрос на замену оборудования и запасные части. Использование полиэфирной смолы дает ряд преимуществ, таких как: Полиэфирная смола имеет высокую прочность и износостойкость; Угол смачивания полиэфирной смолы выше чем у модельных пластиков, что снижает количество прилипшей к поверхности моделей и стержневых ящиков смеси. Цена полиэфирной смолы меньше модельных пластиков на 30-40%, что есть основное преимущество для выбора материала. Проектируемое производство гарантирует конкурентоспособное изготовление моделей и стержневых ящиков благодаря грамотному конструированию, низкой себестоимости, высококачественным материалам и использованию современных фрезерных станков с ЧПУ. / Master’s thesis is devoted to establish limited liability company « MODOS » Master’s thesis consists of an introduction, 3 chapters, conclusion, references list and appendixes. LLC "MODOS" is a company specializing in the design and manufacture of patterns and core boxes for foundries using chemically bonded sand. The existing market has been analyzed. Currently, many companies need this product, as the demand for updating equipment and manufacturing spare parts for it has increased. Polyester resin materials has a number of advantages, such as: Polyester resin has higher strength and wear resistance; The wetting angle of the resin is much larger than that of plastics, which reduces the amount of adhesive sand to the surface of patterns and core boxes; The price of polyester resin is lower than plastics by 30-40%, which is the main advantage in choosing this material. The projected production will ensure competitive manufacture of patterns and core boxes due to competent design, low cost, use of high-quality materials and modern axis-controlled mill.