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NED-2 is a Windows-based system designed to improve project-level planning and decision making by providing useful and scientifically sound information to natural resource managers. Resources currently addressed include visual quality, ecology, forest health, timber, water, and wildlife. NED-2 expands on previous versions of NED applications by integrating(More)
In this paper we present a genetic algorithm-based optimization technique for edge detection. The problem of edge detection is formulated as one of choosing a minimum cost edge configuration. The edge configurations are viewed as two-dimensional chromosomes with fitness values inversely proportional to their costs. The design of the crossover and the(More)
Genetic Algorithms are heuristic search schemes based on a model of Darwinian evolution. Although not guaranteed to find the optimal solution, genetic algorithms have been shown to be effective at finding near optimal and, in some cases, optimal solutions to combinatorially explosive problems. Finding a maximal length snake, a list of vertices satisfying(More)
Genetic algorithms have demonstrated considerable success in providing good solutions to many NP-Hard optimization problems. For such problems, exact algorithms that always find the optimal solution are only useful for small toy problems, so heuristic algorithms such as the genetic algorithm must be used in practice. In this paper, we apply the genetic(More)
Because of the difficulty of simulating large complex systems with traditional tools, new approaches have and are being developed. One group of interrelated approaches attempts to simultaneously make simulation modeling and analysis easier while at the same time providing enough power to handle more complex problems. This group includes the following(More)
Forest ecosystems exhibit complex dynamics over time and space. Management of forest ecosystems involves the need to forecast future states of complex systems that are often undergoing structural changes. This in turn requires integration of quantitative science and engineering components with socio-political, regulatory, and economic considerations. The(More)
The following paper describes recent work on NED-2, an intelligent information system for ecosystem management currently in development by the USDA Forest Service. Using knowledge bases created by forestry experts and inference engines, NED-2 evaluates forest inventories according to a set of predefined goals. By integrating third-party simulation and(More)