parallel genetic algorithm approach
A Hybrid Genetic Algorithm-based Approach to Solve Parallel Machine Scheduling with Job Delivery Coordination
... two parallel machines and delivered by a single delivery truck to customers located in close proximity to each other (defined as a one customer ...the parallel machine scheduling with batch delivery ...
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A New Approach to Solve N-Queen Problem with Parallel Genetic Algorithm
... Several factors are involved in the incomplete speedup (about 1.7 for the dual-core processor), and thus the lack of efficiency including code and data transfer between the client and the workers, and resource ...
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An efficient parallel algorithm for haplotype inference based on rule based approach and consensus methods.
... Two of every three SNPs involve the substitution o f C for T, and can occur in the coding (gene) and non-coding regions of the genome. Although, many SNPs have no effect on cell function, they can predispose people to a ...
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Online Full Text
... This approach is made up of two parts: a priority rule to determine the activity list and a schedule generation scheme which constructs the feasible schedule of the constructed activity ...the parallel ...
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Unrelated Parallel Machines Scheduling with the Effect of Aging and Learning under Multi Maintenance Activities
... good approach, although exact algorithms provide optimal solutions, but their long running time make them impractical in most of real-life applications, therefore genetic algorithm and the ...
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A SURVEY ON DIFFERENT METHODS TO SOLVE TRAVELLING SALESMAN PROBLEM
... approximation algorithm to solve large scale TSP generally includes the eliminating cross path improves the quality of ...greedy algorithm-based approach to the ...optimization algorithm shows ...
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Task Scheduling in Parallel Systems using Genetic Algorithm
... This approach exploits the consumption of Grid resources, decreases processing time of jobs and network delay to programmed and execute jobs on the ...scheduling algorithm resourcefully reduces the ...
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Power System Stabilizer Tuning Based on Multiobjective Design Using Hierarchical and Parallel Micro Genetic Algorithm
... using genetic algorithm (GA) to robustly tune PSSs in multimachine power ...hierarchical genetic algorithm (HGA) and parallel micro genetic algorithm ...
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Grid Load Balancing Using Parallel Genetic Algorithm
... like genetic algorithms have studied so far for the implementation of load balancing across the grid ...these genetic algorithms is that they are quite slow in cases where large number of tasks needs to be ...
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UAV Path Planning with Parallel Genetic Algorithms on CUDA Architecture
... After the initialization part, the population is evolved itera- tively until the stopping criteria have met. While evolving the population, the conventional steps of the genetic algorithm are included in ...
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Determining a Source in Air Dispersion with a Parallel Genetic Algorithm
... backwards parallel genetic algorithm (BPGA) is proposed in this study to serve that ...backwards parallel genetic algorithm is able to closely find the coordinates of the source, ...
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Prediction of Protein Structure using Parallel Genetic Algorithm
... Genetic Algorithms are highly parallel in nature as compared to other algorithms. Therefore, it is simple to implement these on distributed memory machines for efficient results. But, the distribution ...
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Parallel Processing Of Data Mining Functions Using Clustering, Optimization And Classification Techniques
... the parallel processing of the Frequent Itemset Mining (Association Rule Mining) function is listed as follows; Hongjian Qiu et ...YAFIM algorithm. YAFIM was a parallel Apriori algorithm based ...
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Review of Scheduling Algorithm Followed in Parallel Environment
... This algorithm is considered one of the best algorithms in order to schedule the resources and allocate jobs to the ...of parallel ant colony is implemented using parallel construction ...In ...
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Approach Using Genetic Algorithm for Intrusion Detection System
... The implementation is done in two phases. In the first phase the classification rules are generated using genetic algorithm. Support confidence function as fitness function. The GA parameters used were w1 = ...
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Genetic-Moth Swarm Algorithm for Optimal Placement and Capacity of Renewable DG Sources in Distribution Systems
... [10], Genetic Algorithm (GA) [11], cuckoo search algorithm (CSA) [12], mixed integer nonlinear programming (MINLP) [13], Differential Evolution (DE) [14], flower pollination algorithm (FPA) ...
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Design of Group Technology and Improvement by using Genetic Algorithm
... 6. Selection of top efficiency Pinha.oimkn generate a number of cells using a genetic algorithm and compared with the first and choose the top. (Good efficiency of 75% or more, and when accessed is ...
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Parallel Line and Machine Job Scheduling Using Genetic Algorithm
... A parallel line scheduling problem is one where there is more than one processing line for jobs to be processed. There are a number of machines in each line but the number of machines may be different. The ...
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A Novel Approach to Design of Microstrip UWB Bandpass Filter Using Modified Genetic Algorithm
... Crossover operator is an important operator and plays a decisive role in global convergence of the algorithm. It decides whether we can find the optimal solution and the speed of finding the optimal solution. ...
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A Survey of Resource Scheduling Algorithms in Green Computing
... the genetic algorithm did not perform well on problems in which the resources were tightly ...the genetic algorithm to search for resource- feasibility, and tightly constrained resources mean ...
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