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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)
The snake-in-the-box problem is a difficult problem in mathematics and computer science that was first described by Kautz in the late 1950's (Kautz 1958). Snake-in-the-box codes have many applications in electrical engineering, coding theory, and computer network topologies. Generally, the longer the snake for a given dimension, the more useful it is in(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)
We present a method for searching for achordal open paths (snakes) in n-dimensional hypercube graphs (the box). Our technique first obtains a set of exemplary snakes using an evolutionary algorithm. These snakes are then analyzed to define a pruning model that constrains the search space. A depth-first search of the constrained solution space has(More)
Active KDL (Knowledge/Data Language) is an object-oriented database system. It evolved from earlier work on KDL which has been ongoing since 1986 [Pott86]. The foundations of Active KDL are threefold: object-oriented programming, functional programming, and hyper-semantic data modeling. These areas strongly influenced the design of Active KDL's three(More)
Decision making for forest ecosystem management can include the use of a wide variety of modeling tools. These tools include vegetation growth models, wildlife models, silvicultural models, GIS, and visualization tools. NED-2 is a robust, intelligent, goal-driven decision support system that integrates tools in each of these categories. NED-2 uses a(More)