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This study proposes a solver that mix pattern matching method with elimination search to solve Lights-up puzzles. First, the pattern matching method is used to solve some parts of puzzle in a very short time. Then, the elimination search method is applied to solve the part in which the former method cannot be applied. The solver is authenticated by solving problems taken from Internet and compared...
In this paper, several meta-heuristic, includes Crossover Tabu Search (CTS), Tabu Search (TS), Genetic Algorithm (GA) and Ant Colony System (ACS) are applied for the integer ambiguity-searching problem (IASP). Given the baseline, those meta-heuristic are proposed to search optimal solution in integer ambiguity space, which is deduced by solving the resolution of GPS (Global Positioning System) double-differential...
This paper presents a novel cellular neural network (CNN) templates learning approach based on Tabu search (TS) for detecting network intrusions. The TS method was applied to CNN with symmetric templates and was verified by simulations. Simulation experiments on intrusion detection have shown that the TS-based template learning algorithm exhibits superior performance in computation time to find the...
In this paper, a hybrid genetic-VNS algorithm is proposed for the no-wait flowshop problem with total flowtime minimization. To avoid pitfalls of GA, such as poor local search capability and premature convergence, a rather effective VNS local search is introduced based on the framework of the improved GA. To fast convergence of the algorithm, ICH2 (an efficient composite heuristic) is used for the...
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