This article addresses the additional challenges being faced when biological models are used as a basis for decision support in livestock herds. The challenges include dealing with uncertain information, observation costs, herd dynamics and methodological issues in relation to the computational methods applied particularly in the dynamic case. The desired key property of information included in...

A new approach to choosing the optimum design of reciprocating compressors is discussed. Economic criteria ore included together with optimisation procedures which account far thermodynamic criteria of performance, These procedures are applied to a mathematical model of a compressor to produce a "best" design. Such factors as initial cost, interest rates, depreciation, inflation, running costs,...

The paper discusses three general classes of nonlinear programming models. Our objective is to show how to represent optimization problem, such as nonlinear programs, in a compact format using extended mathematical programming. This is a useful tool, especially in cases when complementarity representation, such as mixed complementarity problems, could be difficult to apply. We reflect on the sp...

Abstract. Multiobjective optimization problems depending on a probability measure correspond to many economic and financial activities. Evidently if the probability measure is completely known, then we can try to influence economic process employing methods of a multiobjective deterministic optimization theory. Since this assumption is fulfilled very seldom we have mostly to analyze the mathema...

There are several variations on gubernatorial economic policy around the world. Given different populations and demographics, economic policy changes. How can we best predict the ramifications of a given policy? Can we produce an optimal policy? Computer simulations and optimization using genetic algorithms may be able to provide policy makers with the data to answer these questions.

Our paper aims to answer the question: Can the macroeconomic condition be used to better allocate investments among different sectors of a market? Motivated by classical Markowitz portfolio theory, and prior work in attempting to incorporate exogenous economic factors in portfolio optimization [1][2][3][4], we explore three approaches to dynamically rebalance a portfolio as market or economic r...

This paper uses simple hydro-economic optimization to investigate a wide range of regional water system management options for northern Baja California, Mexico. Hydro-economic optimization models, even with parsimonious model formulations, enable investigation of promising water management portfolios for supplying water to agricultural, environmental and urban users. CALVIN, a generalized hydro...

In this study we discuss the application of robust optimization to the problem of economic energy dispatch in smart grids. Robust optimization based MPC strategies for tackling uncertain load demands are developed. Unexpected additive disturbances are modelled by defining an affine dependence between the control inputs and the uncertain load demands. The developed strategies were applied to a h...