Segmentation of neuronal nuclei based on clump splitting
... then processes each clump coming from the previous one attempting to provide a soft reconstruction of the contours of the cell. Both steps are described in detail in the following paragraph. In the first step (Global Binarization), the image is processed as a whole, with a pipeline of filters that are ...
... then processes each clump coming from the previous one attempting to provide a soft reconstruction of the contours of the cell. Both steps are described in detail in the following paragraph. In the first step (Global Binarization), the image is processed as a whole, with a pipeline of filters that are ...
The TSP phase transition - Computer Science and Engineering
... all problems will be insoluble. With randomly generated problems, there is often a sharp transition between the two regions as a “control parameter” is varied. Cheeseman et al. [4] showed that computational difficulty is often associated with this phase transition. In the loosely constrained region, ...
... all problems will be insoluble. With randomly generated problems, there is often a sharp transition between the two regions as a “control parameter” is varied. Cheeseman et al. [4] showed that computational difficulty is often associated with this phase transition. In the loosely constrained region, ...
Optimal STATCOM Sizing and Placement Using Particle Swarm
... with promising results. Different algorithms such as Genetic Algorithms (GA) [2], [4], [5], [6], and Evolutionary Programming [7] have been tested for finding the optimal allocation as well as the types of devices and their sizes. Particle Swarm Optimization (PSO) is another evolutionary computation ...
... with promising results. Different algorithms such as Genetic Algorithms (GA) [2], [4], [5], [6], and Evolutionary Programming [7] have been tested for finding the optimal allocation as well as the types of devices and their sizes. Particle Swarm Optimization (PSO) is another evolutionary computation ...
NWERC 2015 Presentation of solutions
... E – Elementary Math Problem Given n pairs of numbers, put +, - or * between them such that no two results are the same. Solution 1 Make bipartite graph with n nodes on one side, and a node for every possible answer on the other side ...
... E – Elementary Math Problem Given n pairs of numbers, put +, - or * between them such that no two results are the same. Solution 1 Make bipartite graph with n nodes on one side, and a node for every possible answer on the other side ...
Strategies for Solving Multiplication Problems
... Creating an Equivalent Problem One way to create an equivalent problem that is easier to solve is by “doubling and halving” the factors. Abdul solved the multiplication problem 6 35 by “doubling and halving” the factors to create the equivalent problem 70 3. Abdul’s solution ...
... Creating an Equivalent Problem One way to create an equivalent problem that is easier to solve is by “doubling and halving” the factors. Abdul solved the multiplication problem 6 35 by “doubling and halving” the factors to create the equivalent problem 70 3. Abdul’s solution ...
AWA* - A Window Constrained Anytime Heuristic Search
... was proposed to modify the weighted A* technique with selective commitments [Kitamura et al., 1998]. One of the major disadvantages of using the weighted A* based techniques is that weighing the heuristic introduces non-admissibility. As the basic characteristics of A* change substantially with non- ...
... was proposed to modify the weighted A* technique with selective commitments [Kitamura et al., 1998]. One of the major disadvantages of using the weighted A* based techniques is that weighing the heuristic introduces non-admissibility. As the basic characteristics of A* change substantially with non- ...
Plate-fin and Tube Heat Exchangers Refrigerant - Purdue e-Pubs
... Granryd and Palm (2003) proposed a simplified method to determine an optimum number of circuit branches in evaporators, for a given thermal capacity. Correlations were proposed based on a minimum pressure drop. Circuiting optimization is a particularly complex task, evenmore if air flow distribuitio ...
... Granryd and Palm (2003) proposed a simplified method to determine an optimum number of circuit branches in evaporators, for a given thermal capacity. Correlations were proposed based on a minimum pressure drop. Circuiting optimization is a particularly complex task, evenmore if air flow distribuitio ...
How language changed the genes: toward an explicit account of the
... Our point of departure is a theoretical reappraisal of Chomsky’s long-standing hypothesis of the autonomy of syntactic structures from meaning considerations. As we have already indicated, recent empirical research on the interface between syntactic and semantic representations consistently demonstr ...
... Our point of departure is a theoretical reappraisal of Chomsky’s long-standing hypothesis of the autonomy of syntactic structures from meaning considerations. As we have already indicated, recent empirical research on the interface between syntactic and semantic representations consistently demonstr ...
Genetic algorithm
In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.