heuristic approaches
Comparing Two Meta-Heuristic Approaches for Solving Complex System Reliability Optimization
... Different approaches such as exact, heuristic and meta-heuristic have been constructed to solve system reliability optimization (SRO) models ...meta-heuristic approaches have been used ...
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Comparative Study of Heuristic Approaches for Cell Formation
... two heuristic approaches for cell formation techniques, cell aggregation procedure and inter cell flow reduction procedure are compared on the basis of efficiency ...
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Resource Constrained Project Scheduling with Material Ordering: Two Hybridized Meta-Heuristic Approaches (TECHNICAL NOTE)
... was strongly NP-hard, two hybrid meta-heuristic approaches of hybrid genetic algorithm (GA-GA) and hybrid simulated annealing (SA-GA) were developed to solve it. Both algorithms consist of an outside and an ...
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Meta-Heuristic Approaches for the Classification of Medical Datasets Snegaa A 1, Dr. S. Sivakumari2
... In the health care systems, the decision support system and the analysis of clinical data requires an interdisciplinary field of data mining, which guides the automated knowledge discovery process to apply the complex ...
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Heuristic approaches to quadratic assignment problems.
... 2) Exploiting in an efficient manner the information that is available beforehand pertaining to the value of an optimal solution. For instance, when feasible solution is known from past experience or has been derived ...
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Heuristic Approaches for Cell Formation in Cellular Manufacturing
... This paper discusses that the sequence of operations and the production volume are two major factors to be con- sidered in the design of CMS. Despite this fact, it has not been taken into account in a majority of ...
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Comparative Performance Analysis of Optimal Meta-Heuristic Approaches for Hydrothermal Coordination
... GSA was first introduced in 2009 as a new heuristic method inspired by Newton’s law of gravity and motion. In GSA approach, agents are considered as objects and their performance is measured by their masses. All ...
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The 0/1 Multidimensional Knapsack Problem and Its Variants: A Survey of Practical Models and Heuristic Approaches
... DOI: 10.4236/ajor.2018.85023 417 American Journal of Operations Research 0/1 MKP as well as LS. The results demonstrated that their ABC algorithm get nearest optimal solutions and converge rapidly in comparison with ...
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Job Scheduling Within Cloud Environment : A Critical Analysis of Meta Heuristic Approaches
... Cloud computing is a model for empowering ubiquitous, comfortable, on-request access to a mutual system containing a pool of configurable computing assets that can be effectively furnished and discharged with negligible ...
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COMPARISON OF TWO HEURISTIC APPROACHES FOR SOLVING THE PRODUCTION SCHEDULING PROBLEM
... used heuristic methods for solving production scheduling problems, namely, the Nearest Neighbor (NN) and Ant Colony Optimization (ACO) have been tested on a specific real-life problem and the results ...
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Exact and Heuristic Approaches for Solving the Multi-Vehicle Advance Request Dial-a-Ride Problem.
... Jorgensen et al. Jorgensen et al. (2007) also present a mixed integer programming model for the dial-a-ride problem. They define a multi-criteria objective function and use the weighted sum method to produce a single ...
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ENSEMBLE OF CLUSTERING ALGORITHMS FOR ANOMALY INTRUSION DETECTION SYSTEM
... existing approaches are based on detection techniques. These approaches are categorized into different types such as some are based on lists, hybrid, and information flow [10- ...type approaches ...
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A reactive bone route algorithm for solving the traveling salesman problem
... meta- heuristic approaches are very efficient for escaping from local optimum, they are one of the best algorithms for solving combinatorial optimization ...meta-heuristic approaches such as ...
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Mathematical modeling and hybrid heuristic for unequal size facility layout problem
... The facility layout design has been regarded as the key to improve plant productivity, which are relevant to both manufacturing and service sectors. Facility Layout Problems (FLPs) are known to be NP-hard problems; ...
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Hybridising heuristics within an estimation distribution algorithm for examination timetabling
... Since the introduction of the Carter benchmark dataset, many approaches have been proposed to solve exam timetabling problems. A comprehensive survey of automated search methodologies for exam timetabling on the ...
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Hierarchical Back off Modeling of Hiero Grammar based on Non parametric Bayesian Model
... with Heuristic Extraction As reported in (Koehn et ...against heuristic ex- traction is a challenging ...present heuristic extraction from the last 1 sample of Back+future in ...
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Heuristic
... • Allowed set: Solutions that do not belong to the tabu list.. • Select solution from allowed set, add to tabu list, and update tabu list.[r] ...
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Heuristic Evaluation Quality Score (HEQS): A Measure of Heuristic Evaluation Skills
... traditional HE and HE Plus (Chattratichart, and Brodie, 2002), can be compared, and the HEQS scores will identify the better method. A comparison of the two was done by Lindgaard et al. (2004), but they did not take into ...
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Few heuristic optimization algorithms to solve the multi-period fixed charge production-distribution problem
... search heuristic, Simulated annealing algorithm (SAA) based neighbourhood search heuristic and an Equivalent variable cost (EVC) based simple heuristic are proposed to solve the ...
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Disaster recovery heuristic
... search heuristic and the Ant Colony ...Search Heuristic showed how a map can be divided up into smaller regions, and also showed how achieving good results for each locality provides good results for the ...
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