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distributed simulated annealing algorithms

QoS-aware Video Transcoding Service Composition Process in a Distributed Cloud Environment

QoS-aware Video Transcoding Service Composition Process in a Distributed Cloud Environment

... use simulated annealing in selecting multimedia transcoding ...the simulated annealing-based genetic algorithm (QQDSGA) to efficiently select web services with excellent ...the ...

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SWOT Analysis of Tabu Search and Simulated Annealing Task Scheduling Algorithms in Distributive Environment

SWOT Analysis of Tabu Search and Simulated Annealing Task Scheduling Algorithms in Distributive Environment

... Internet, Distributed computing achieves extreme reputation due to its feature to share the resource at lowest cost and ...of Distributed computing come into the real shape with development of Main frame ...

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Information Theory optimization algorithm for efficient service orchestration in distributed systems

Information Theory optimization algorithm for efficient service orchestration in distributed systems

... many algorithms proposed in the literature to solve the routing problem such as 2opt, ant colony, greedy algorithm, genetic algorithm (GA) and simulated annealing (SA) but very limited work is found ...

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GRID Scheduling algorithms: A survey

GRID Scheduling algorithms: A survey

... widely distributed resources, and provide trivial services to ...scheduling algorithms such as Static, Dynamic, Ant Colony, Multi objective Evolutionary algorithms, Simulated Annealing, ...

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Grid Resource Selection Optimization with Guarantee Quality of Service by Hybrid of Genetic and Simulated Annealing Algorithms

Grid Resource Selection Optimization with Guarantee Quality of Service by Hybrid of Genetic and Simulated Annealing Algorithms

... The grid system expanded these years is considered a network infrastructure. It can integrate distributed resources and develop a higher layer of distributed resource communized environment. The efficiency ...

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Task based approach towards Load Balancing in Cloud Environment

Task based approach towards Load Balancing in Cloud Environment

... be distributed among one or more server efficiently and ...heuristic algorithms, namely simulated annealing, particle swarm optimization and genetic algorithm to balance the load and to ...

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COMPARATIVE PERFORMANCE OF THREE METAHEURISTIC APPROACHES FOR THE MAXIMALLY DIVERSE GROUPING PROBLEM

COMPARATIVE PERFORMANCE OF THREE METAHEURISTIC APPROACHES FOR THE MAXIMALLY DIVERSE GROUPING PROBLEM

... presented simulated an- nealing (MSA), hybrid genetic (HGA) and variable neighborhood search (VNS) algorithms for the max- imally diverse grouping ...these algorithms we conducted computational ...

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Lifetime Maximization of Wireless Sensor Networks using Improved Genetic Algorithm based Approach

Lifetime Maximization of Wireless Sensor Networks using Improved Genetic Algorithm based Approach

... Energy Efficient Routing in Wireless sensor networks has gained a lot of attraction from the researchers in the recent years. In [5, 6] summary of recent research results on energy efficient data routing in sensor ...

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Simulated Annealing Algorithm to Minimize Makespanin Single Machine Scheduling Problem withUniform Parallel Machines

Simulated Annealing Algorithm to Minimize Makespanin Single Machine Scheduling Problem withUniform Parallel Machines

... a simulated annealing algorithm to minimize the makespan in the single machine scheduling problem with uniform parallel ...The simulated annealing algorithm has emerged from annealing ...

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Disease Prediction with Simulated Annealing

Disease Prediction with Simulated Annealing

... This paper analysed simulated annealing method for feature selection that are suggested by many investigates. Accuracy is most important in the field of medical diagnosis to diagnose the patient’s disease. ...

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A Mushy State Simulated Annealing

A Mushy State Simulated Annealing

... stochastic simulated annealing (SSA) [7] tends to find a global optimum if the annealing process is carried out sufficiently ...chaotic simulated annealing (SCSA) ...

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Efficient generators in simulated annealing

Efficient generators in simulated annealing

... Let F be the original gray level image and G be the observed image degraded by additive independent identically distributed Gaussian noise of zero mean and standard deviation a.. Model b[r] ...

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A Mushy State Simulated Annealing

A Mushy State Simulated Annealing

... the Simulated Annealing (SA) procedure is introduced as a model-free optimization for solving NP-hard ...the annealing schedules starts or the time schedule ...of annealing, the adjustment of ...

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A Hybrid VNS/TABU Search Algorithm for Solution the P Median Problem

A Hybrid VNS/TABU Search Algorithm for Solution the P Median Problem

... as simulated annealing and genetic algorithms ...and simulated annealing were ...a simulated annealing and tabu search ...

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Crater Detection via Genetic Search Methods to Reduce Image Features

Crater Detection via Genetic Search Methods to Reduce Image Features

... detection in this line of research. A wrapper method was coined by [JKP94], but the technique was used originally by [DK82]. A collection of subsets combined with a wrapped classifier creates a space that has been ...

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Optimization of Job Scheduling in Flow Shop Environment using Genetic Algorithm Considering Sequence Dependent Setup Times

Optimization of Job Scheduling in Flow Shop Environment using Genetic Algorithm Considering Sequence Dependent Setup Times

... [11] Nakano, R. and Yamada, T., (1991), “Conventional genetic algorithms for job-shop problems” In R.K. Belwl and L.B. Booker, editors, Proceedings of the Fourth International Conference on Genetic ...

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A survey on metaheuristics for stochastic combinatorial optimization

A survey on metaheuristics for stochastic combinatorial optimization

... first algorithms based on the ant colony analogy appeared at the beginning of the nineties in a paper by Dorigo et ...ACO algorithms that constraint all pheromone values not to be smaller than a given ...

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A Comparison between Genetic Algorithms and Simulated Annealing for Minimizing Transfer Waiting Time in Transit Systems

A Comparison between Genetic Algorithms and Simulated Annealing for Minimizing Transfer Waiting Time in Transit Systems

... metaheuristic algorithms, genetic algorithms and simulate annealing, in coping with the transfer optimization ...a simulated annealing algorithm are developed and applied to a transit ...

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Machine Vision Optimization using Nature-Inspired Algorithms to Model Sunagoke Moss Water Status

Machine Vision Optimization using Nature-Inspired Algorithms to Model Sunagoke Moss Water Status

... as Simulated Annealing (SA) [13], Genetic Algorithms (GAs) [14], Particle Swarm Optimization (PSO) [15] are at the forefront of research in feature selection ...

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Multi-criteria sequence-dependent single machine scheduling using genetic and simulated annealing algorithms

Multi-criteria sequence-dependent single machine scheduling using genetic and simulated annealing algorithms

... Different approaches have been proposed by a number of researchers to solve the single machine scheduling problem with setup times. Rubin and Ragatz [5] proposed a Branch and Bound approach, which quickly showed its ...

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