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Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-61723-x_995openalex-snapshot
On permutation representations for scheduling problems
inferredcites →https://doi.org/10.1007/s00224-004-1177-zopenalex-snapshot
Upper and Lower Bounds for Randomized Search Heuristics in Black-Box Optimization
inferredcites →https://doi.org/10.1016/0360-8352(96)00047-2openalex-snapshot
A tutorial survey of job-shop scheduling problems using genetic algorithms—I. representation
inferredcites →https://doi.org/10.1016/j.ejor.2004.03.012openalex-snapshot
A hybrid genetic algorithm for the job shop scheduling problem
inferredcites →https://doi.org/10.1016/j.tcs.2008.05.011openalex-snapshot
Population size versus runtime of a simple evolutionary algorithm
inferredcites →https://doi.org/10.1016/s0360-8352(03)00077-9openalex-snapshot
A hybrid genetic algorithm for the job shop scheduling problems
inferredcites →https://doi.org/10.1038/sj/jors/0411109openalex-snapshot
OR-Library: Distributing Test Problems by Electronic Mail
inferredcites →https://doi.org/10.1057/jors.1972.52openalex-snapshot
On the Flow-Shop Sequencing Problem with No Wait in Process †
inferredcites →https://doi.org/10.1057/jors.1990.166openalex-snapshot
OR-Library: Distributing Test Problems by Electronic Mail
inferredcites →https://doi.org/10.1109/escience.2008.78openalex-snapshot
MRPGA: An Extension of MapReduce for Parallelizing Genetic Algorithms
inferredcites →https://doi.org/10.1109/isda.2009.181openalex-snapshot
Scaling Genetic Algorithms Using MapReduce
inferredcites →https://doi.org/10.1287/mnsc.38.10.1495openalex-snapshot
New Search Spaces for Sequencing Problems with Application to Job Shop Scheduling
inferredcites →https://doi.org/10.1287/mnsc.42.6.797openalex-snapshot
A Fast Taboo Search Algorithm for the Job Shop Problem
inferredcites →https://doi.org/10.1287/opre.8.4.487openalex-snapshot
Algorithms for Solving Production-Scheduling Problems
inferredcites →https://doi.org/10.7551/mitpress/4931.003.0017openalex-snapshot
*13 Simulated Annealing and Boltzmann Machines
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Cloud Driven Design of a Distributed Genetic Programming Platform
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Survey on distributed parallel genetic algorithms for large-scale data analysis
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Scaling up data mining algorithms: review and taxonomy
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Solving job shop scheduling problem using a hybrid parallel micro genetic algorithm
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A bipolar resource management framework for resource provisioning in Cloud’s virtualized environment
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Extremely high-dimensional optimization with MapReduce: Scaling functions and algorithm
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Spark implementation of the enhanced Scatter Search metaheuristic: Methodology and assessment
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Population based metaheuristics in Spark: Towards a general framework using PSO as a case study
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Running krill herd algorithm on Hadoop: A performance study
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A MapReduce based Ant Colony Optimization approach to combinatorial optimization problems
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Feature Reduction for Anomaly Detection in Manufacturing with MapReduce GA/kNN
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A Genetic Programming Approach to Design Resource Allocation Policies for Heterogeneous Workflows in the Cloud
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A genetic algorithm approach for modelling and optimisation of MAJSP- Part I: Modelling
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Metaheuristic Scheduling for Cloud: A Survey
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Extended Kalman Filter Based Echo State Network for Time Series Prediction using MapReduce Framework
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In a Telco-CDN, Pushing Content Makes Sense
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Using Hadoop MapReduce for Parallel Genetic Algorithms: A Comparison of the Global, Grid and Island Models
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Hadoop MapReduce for Parallel Genetic Algorithm to Solve Traveling Salesman Problem
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Improving the TSAB algorithm through parallel computing
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An efficient and effective approach for mining a group stock portfolio using mapreduce
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Performance of Parallel Distributed Bat Algorithm using MPI on a PC Cluster
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Neural Nets Distributed on Microcontrollers using Metaheuristic Parallel Optimization Algorithm
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A Novel Evolutionary Biclustering Approach using MapReduce(EBC-MR)
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Local Optima Avoidance in GA Biclustering using Map Reduce
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A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics
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Parallel Bat Algorithm Using MapReduce Model
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