Heuristic Methods
Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem
... The definition used in the Metaheuristics Network (2000) is as follows. A metaheuristic is a set of concepts that can be used to define heuristic methods that can be applied to a wide set of different ...
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Improvement of Scheduling Efficiency Using Heuristic Methods and Simulation Technique in Electronic Assemblies Industry Production
... three heuristic methods (Palmer, Gupta and CDS) to define the makespan, and compared by randomized complete block design (RCBD) at a 95% significance ...each heuristic was performed using an ANOVA ...
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The Heuristic Methods for Assembly Line Balancing Problem: A Case of Vietnam Garment Industry
... different heuristic methods to build a solution for the sewing line balancing and applied these methods for a typical case of Vietnam garment ...applying heuristic methods to balancing ...
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Meta-heuristic Methods for Outliers Detection in Multivariate Time Series
... tion for TPP is 40.2%. All four meta-heuristic algo- rithms find in several runs the outliers at positions 100 and 150 as well as others. We almost always ob- served that magnitude of the wrong detected outliers ...
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Combining Monte Carlo and hyper heuristic methods for the multi mode resource constrained multi project scheduling problem
... Multi-mode resource and precedence-constrained project scheduling is a well-known challenging real-world optimisation problem. An important variant of the problem re- quires scheduling of activities for multiple projects ...
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IJRTSM INTERNATIONAL JOURNAL OF RECENT TECHNOLOGY SCIENCE & MANAGEMENT COMPARISON OF DIFFERENT HEURISTIC METHODS FOR ASSEMBLY LINE BALANCING - A REVIEW
... problems heuristic methods are very much ...of heuristic methods are available, therefore it become very much important to use more efficient heuristic ...different heuristic ...
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Fixed job scheduling: a literature survey and a solution proposition through meta heuristic methods
... meta heuristic methods such as Genetic algorithm(GA) and Simulated anneal- ing(SA) are proposed for solving the operational fixed job shop scheduling ...metaheuristic methods are effective for ...
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Heuristic Methods for the Unrestricted Dynamic Container Relocation Problem
... three heuristic approaches for the unrestricted ...suggested heuristic methods are able to produce promising outcomes for the unrestricted ...
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APPLYING HEURISTIC METHODS FOR JOB SCHEDULING IN STORAGE MARKETS
... seconds. Heuristic methods can overcome the computational complexity of the exact optimization problem by determining an approximation to the optimal solution in polynomial ...
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Heuristic methods for synthesizing realistic social networks based on personality compatibility
... synthesis methods, a user could produce a set of synthetic social networks, individually non-identical but collect- ively with specific desired structural characteristics, including ...
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HEURISTIC METHODS TO IDENTIFY FACTORS INFLUENCING COLLEGE ADMISSIONS IN SUB URBAN AREAS
... Attribute subset selection reduces the data set size by removing irrelevant or redundant attributes (or dimensions). The attribute subset selection method determines minimal set of attributes so that the resulting ...
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Efficient Routing Protocol for Wireless Sensor Networks based on Centralized and Distributed Heuristic methods
... The problem with the centralized heuristic algorithm of EDAL is that it requires information to be collected from each node to a centralized one. In distributed sensor networks, this step will typically incur ...
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Optimum DNR and DG sizing for power loss reduction using improved Meta heuristic methods
... The main purpose of service restoration is to restore as many loads as possible by transferring loads in the out of service areas to other distribution feeders via changing the status of normally close and open switches ...
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On the Computing of the Minimum Distance of Linear Block Codes by Heuristic Methods
... classical methods, for this reason the problem has been solved in the literature with heuristic techniques such as genetic algorithms and local search ...
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Heuristic Methods for Reducing Errors of Geographic Named Entities Learned by Bootstrapping
... To resolve these inconsistencies, we basically use statistical measures such as the score of a boundary pattern, Score(p), and the rank of an entity candidate, Rank(e), as in most previous works. However, this strategy ...
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Exact and Heuristic Methods for solving the View-Selection Problem for Aggregate Queries
... queries are relatively low in the view lattice. For each instance, the value of α is set to be.. , 1 and the respective objective function value, size of the search space |SP h| , and CP[r] ...
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(GNS), improvement heuristic,
... Those solutions randomly generated, demand the use of a rigorous local search, e.i.: higher order moves or even in a combination with small moves, while those with a better underlying heuristic, Ex.: under a ...
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Heuristic Authorship Obfuscation
... In this paper, we depart from the mentioned ob- fuscation paradigms and, for the first time, cast author obfuscation as a heuristic search problem. Given a to-be-obfuscated text, we search for a cost- minimum ...
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Hypotheticals as Heuristic Device
... Hypotheticals as Heuristic Device Hypotheticals as Heuristic Device Edwina L Rissland and Kevin D A s h l e y D e p a r t m e n t o f C o m p u t e r and I n f o r m a t i o n Science U n i v e r s i[.] ...
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