Titlebook: Applications of Evolutionary Computation in Image Processing and Pattern Recognition; Erik Cuevas,Daniel Zaldívar,Marco Perez-Cisneros Boo

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Automatic Segmentation by Using an Algorithm Based on the Behavior of Locust Swarms,called Locust Search (LS), is based on the behavior of swarms of locusts. Different to the most of existent evolutionary algorithms, it explicitly avoids the concentration of individuals in the best positions, avoiding critical flaws such as the premature convergence to sub-optimal solutions and the

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Reference work 2011Latest editions by calculating only a fixed subset of search locations at the price of poor accuracy. In this chapter, an algorithm based on Artificial Bee Colony (ABC) optimization is presented to reduce the number of search locations in the BM process. In the algorithm, the computation of search locations is dr

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Reference work 2011Latest editionf encoded candidate ellipses are evolved through the evolutionary algorithm so that the best candidates can be fitted into the actual ellipses within the image. Just after the optimization process ends, an analysis over the embedded memory is executed in order to find the best obtained solution (the

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