Backtracking algorithm
Applying the Method for Solving Traveling Salesman Problem Based on Backtracking Algorithm to Order Picking
... In the distribution center, the way of order picking personnel to pick goods has two kinds: single picking and batch picking. Based on the way of the single picking and assumed warehouse model, in order to reduce the ...
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Improving Image Classification using Fuzzy Neural Network and Backtracking Algorithm
... an algorithm in order to create a class rule based on the training data ...using backtracking algorithm, which will determine the appropriate class rule, is used by one of the training data ...EFNN ...
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Personnel Scheduling: Comparative Study of Backtracking Approaches and Genetic Algorithms
... the backtracking algorithm to various scheduling problems, particularly for which the genetic algorithm like approaches have been used widely in the recent ...
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Backtracking-Assisted Multiplication
... In this paper, we propose a completely different approach: the constant operand is encoded in a computation-friendly way, which makes multi- plication faster. This encoding is based on linear relationships detected ...
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Backtracking based dynamic programming for resolving transmit ambiguities in WSN localization
... ILP algorithm and the non-backtracking algorithm in terms of the total simulation time for a fixed sensing radius of R = √ ...ILP algorithm increases from approximately 356 s (N = 40) in the ...
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Heuristic Based Backtracking for Propositional Satisfiability
... heuristic backtracking algorithm using three different heuristics: a plain heuris- tic, the VSIDS heuristic and the BerkMin’s ...the algorithm was unable to solve an instance it was due to memory ...
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Quantum-Walk Speedup of Backtracking Algorithms
... the backtracking algorithm and hence is not known in advance, and where the walk starts at the root of the ...an algorithm for finding a marked vertex in a tree, rather than just detecting ...
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Heuristic Based Backtracking Relaxation for Propositional Satisfiability
... Abstract. In recent years backtrack search algorithms for propositional satisfiability (SAT) have been the subject of dramatic improvements. These improvements allowed SAT solvers to successfully solve instances with ...
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Understanding deep learning via backtracking and deconvolution
... Convolutional neural networks are widely adopted for solving problems in image clas- sification. In this work, we aim to gain a better understanding of deep learning through exploring the miss-classified cases in facial ...
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A Hybrid Backtracking and Pencil and Paper Sudoku Solver
... The backtracking method, fills the empty cells ensuring that the properties of a Sudoku grid are maintained ...the algorithm is terminated. If not, the backtracking algorithm is applied from ...
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Modelling Interactions in High-dimensional Data with Backtracking
... Our Backtracking algorithm has been presented in the context of the Lasso for the linear ...the Backtracking step, the KKT conditions for these optimisation problems provide a way of checking whether ...
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Non-backtracking walk centrality for directed networks
... In Figures 6 and 7 we display two network visualisations, where node size is proportional to central- ity; with Katz in Figure 6 and NBTW in Figure 7. Two nodes share the top Katz centrality. These are connected through ...
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Random Backtracking in Backtrack Search Algorithms for Satisfiability
... the backtracking search strategies used by current state-of-the-art SAT solvers ...non-chronological backtracking search ...other backtracking search ...plete algorithm. If instead of ...
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On the exponential generating function for non-backtracking walks
... A natural task across all these fields is to count the number of distinct non- backtracking walks of a given length between pairs of nodes, and to form a compact expression for the associated generating function. ...
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Transition Based Dependency Parsing with Heuristic Backtracking
... Another inefficiency inherent to beam search is the fact that all b beams are always fully explored. Since the beams are calculated in parallel, this is in- evitable. However, with heuristic backtracking, the ...
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An Enhanced Binary Anti-Collision Algorithm of Backtracking in RFID System
... search algorithm of backtrack- ing, an enhanced binary anti-collision search algorithm for radio fre- quency identification (RFID) system is presented in this ...proposed algorithm can improve ...
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Non-backtracking walk centrality for directed networks
... The theory of zeta functions provides an expression for the generating function of nonbacktracking walk counts on a directed network. We show how this expression can be used to produce a centrality measure that ...
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Combining Conflict-Driven Clause Learning and Chronological Backtracking for Propositional Model Counting
... after backtracking chronologically to the backtrack level, might be lower than the decision level of another literal preceding ` on the ...of backtracking in which no blocks of literals are unassigned but ...
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Non-backtracking cycles: length spectrum theory and graph mining applications
... networks, computational costs, as well as in the discriminatory power of the resulting distance. This reflects the fact that complex networks represent a wide variety of sys- tems whose structure and dynamics are ...
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High tricycle target group Backtracking the requirements of potential high tricycle users
... The tester wants to cycle with his partner, which uses a bicycle with electric paddle support Years of bicycle use: youth until 80 Years of since bicycle use: 2 years Living situation: I[r] ...
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