Multi-objective evolutionary algorithm (MOEAs) are well established population based stochastic techniques. They employ various evolutionary operators and approximate a set of optimal solutions for the problem at hand in single run unlike traditional mathematical programing. Each search operator have certain benefits and limitations. A multiple use of operators with self-adaptive procedure can ...

Markets for natural resources and commodities are often oligopolistic. In these markets, production capacities are key for strategic interaction between the oligopolists. We analyze how different market structures influence oligopolistic capacity investments and thereby affect supply, prices and rents in spatial natural resource markets using mathematical programing models. The models comprise ...

A new type of transactions for higher level applfcation programing in systems with databases is introduced. These so-called 'nested transactions with multiple commit points' support operations over multiple applications either atomically, fndependent, or in a combination of both. Furthermore, it is strictly distinguished between transactions as units of work and transactions as a part of so-cal...

In contemporary science, the analysis of human walking is extensively used. The prediction of leg motion, as well as rehabilitation, can be usable for orthosis and prosthesis programing. Our work is focused on predicting of human walking by angle-angle diagrams, also called cyclograms. The applications of cyclograms in conjunction with artificial intelligence offers wide area of applications in...

To describe and explain the world, scientists search for equations that quantify relations among relevant variables. We wanted to assist these efforts by a computer program inspired by genetic programing. Using realworld data, the program discovered equations that outperformed, in terms of accuracy, published expressions. Moreover, the research indicated that somewhat different formulas may be ...

In this paper, we propose a genetic programing method to synthesize passive filter circuits including parasitic effects, which are very common in high-frequency application. This approach allows circuit topology and component values to be evolved simultaneously; therefore, novel circuits different from those generated by traditional methods can be explored. Experimental results show the propose...

Described is an undergraduate numerical analysis course organized around projects and tasks assigned to student teams. Most teams had five students within which the student with the most computer programing experience assumed the leadership role. The leaders' responsibility extended to distribution of work assignments and coordination of group interaction. Intragroup cooperation, leadership or ...

This paper gives an overview of linear programming methods for solving standard and nonstandard Markovian control problems. Standard problems are problems with the usual criteria such as expected total (discounted) rewards and average expected rewards; we also discuss a l~articular class of stochastic games. In nonstandard problems there are additional considerations as side constraints, multip...