hill-climbing search algorithm
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... appropriate search method or artificial intelligence technique to solve a problem is not always evident and usually requires implementation of different approaches to ascertain ...informed search methods, ...
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Mining Knowledge Of The Directed Acyclic Graph (DAG) And Dataset Using The Hill Climbing Algorithm
... using hill climbing is only for harvesting DAG models or the best bayes causality model in the form of bayes ...re- search, an algorithm is needed to automatically harvest the rule instances ...
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An effective hybrid of hill climbing and genetic algorithm for 2D triangular protein structure prediction
... heuristic search algorithms for a variety of lattice models have been proposed and proven useful to explore the rela- tionship between the primary amino acid sequence and its native folding structure, particularly ...
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Online Full Text
... as search strategy is simple hill climbing search ...simple hill climbing search method can give good performance, if the MI function of the parameter space is enough ...a ...
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Efficient computation of spaced seeds
... similarity search and are used by many soft- ware programs, in a variety of applications, such as sequence alignment [6,9,10], read mapping [11,12], or oligonucleotide design ...A hill climbing ...
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Weaving Parallel Threads
... the hill-climbing and greedy ...the hill climber and greedy algorithm for all core ...the algorithm against the number of fitness ...the hill-climbing, but finds it in ...
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A step counting hill climbing algorithm
... The main emphasis of this paper is on the investigation into the behaviour of the proposed algorithm. Some observed dependencies in this behaviour motivated the hypothesis that in addition to the solving ...
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Hill-Climbing search and diversification within an evolutionary approach to protein structure prediction
... genetic algorithm is investigated in [17] where the impor- tance of high resolution building blocks (facilitated by multi-point crossovers) and of local dynamics operator is ...ing algorithm is investigated ...
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A. Binary representation of the task
... Genetic Algorithm (GA) and Hill-climbing Algorithm ...global search method, whereas HCA is a local optimization method ...local search technique, in this case HCA, with a global ...
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Solving the Class Responsibility Assignment Problem Using Metaheuristic Approach
... Hill climbing starts from a randomly chosen ...the algorithm the neighbourhood of the current chromosome is searched in order to find fitter ...of search neighbourhood is problem spe- ...
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Global Maximum Power Point Tracking Under Partial Shading Condition Using SEPIC Converter
... improved hill climbing algorithm identifies the global maximum power point within reasonable time without missing any local maximum power points through global search as the step size for duty ...
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Image Histogram Segmentation by Multi Level Thresholding using Hill Climbing Algorithm
... simplex search algorithm [4] and particles swarm optimization abbreviated method as (NM – PSO) [5] is proposed to solve the objective function of Gaussian fitting curve for multilevel ...
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Application of Hill Climbing Algorithm as Data Mining Technique for Surveillance of Real Time Video Streams
... n traditional system, Video surveillance has gained importance in security, law enforcement and military applications and so is an important computer vision problem. As more and more surveillance cameras are deployed in ...
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INTEGRATING HEALTH BEHAVIOURAL CHANGE THEORIES IN THE DESIGN OF PREDIABETES SELF CARE APPLICATIONS: A SYSTEMATIC LITERATURE REVIEW
... local search and population-based meta-heuristics such as hill climbing, simulated annealing, great deluge algorithm, genetic algorithm and many others are used to improve the solution ...
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Parallelizing Combinatorial Optimization Heuristics with GPUs
... The Travelling Salesman Problem (TSP) is a combinatorial optimization problems which can be described easily, but it is very difficult to solve. A salesman starts with one city and will be visiting a number of cities ...
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A new approach to avoiding the local extrema trap
... this algorithm came when developing signature verification software ...ec algorithm was implemented in this application with significant improvements in system ...
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A COMBINED ALGORITHM FOR DATA WAREHOUSE FRAGMENTATION SELECTION
... algorithms: hill climbing and simulated annealing with several variants to select a near optimal partitioning ...use hill climbing algorithm to select fragmentation schema of the data ...
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Negotiating using rewards
... ation algorithm that generates promises of rewards in future interactions, as a means of permitting agents to reach bet- ter agreements, in a shorter time, in the present ...generation algorithm and show ...
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Hill-climbing based Virtual Machine Adaptive Fault Tolerance for Online Tasks in Cloud Computing
... PROPOSED HILL-CLIMBING BASED LOAD BALANCING AND RELIABILITY When the users submit tasks to the broker, the broker collect these tasks into a set and queries Cloud Information Services ...proposed ...
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WRL 96 1 pdf
... dynamic hill climbing is a better algorithm than others, its only purpose is to show that by using this approach we allow techniques that can only be used to optimize functions in cartesian spaces to ...
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