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This paper presents a new constraint-handling genetic approach for solving the economic dispatch problem in electric power systems. A real code genetic algorithm is implemented to minimize the active power generation cost while satisfying power balance (energy conservation) and generation limit constraints simultaneously during the optimization process.… (More)

- Juan Flores, Art Farley
- 1996

Most of the work on behavior prediction on the eld of Qualitative Physics has focused on transient behavior and responses to perturbations (de Kleer & very little has been done about behavior of systems in steady state (Sussman & Steele 1980). An understanding of the sinusoidal steady state of electrical circuits is important for several reasons. A large… (More)

- Juan Flores, Art Farley
- 2003

One of the main objectives of qualitative physics is to derive the behavior of a system from the description of its components and their interrelationships. Observation of the problems that qualitative simulation techniques present, motivated us to study physical systems from a different perspective, their analytical solutions. In this paper we present a… (More)

If we allow the magnitude and angle of a complex number (expressed in polar form) to range over an interval, it describes a semicircular region, similar to a fan; these regions are what we call complex fans. Complex numbers are a special case of complex fans, where the magnitude and angle are point intervals. Operations (especially addition) with complex… (More)

Modeling the behavior of algorithms is the realm of evolutionary algorithm theory. From a practitioner's point of view, theory must provide some guidelines regarding which algorithm/parameters to use in order to solve a particular problem. Unfortunately, most theoretical models of evolutionary algorithms are difficult to apply to realistic situations.… (More)

Most of the work on behavior prediction in the field of Qualitative Reasoning has focused on transient behavior and responses to perturbations; very little has been done regarding systems in steady state. A large class of systems, especially in the area of power systems, are designed for sinu-soidal steady-state operation. Thus, an understanding of the… (More)

The problem of Systems Identification starts with a time-series of observed data and tries to determine the simplest model capable of exhibiting the observed behavior. This optimization problem searches the model from a space of possible models. In this paper, we present the theory and algorithms to perform Qualitative and Quantitative Systems… (More)