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Using Swarm Intelligence for Distributed Job Scheduling on the Grid

With the rapid growth of data and computational needs, distributed systems and computational Grids are gaining more and more attention;

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Evolutionary Computation in Scheduling

, showing readers how to choose a specific evolutionary computation and how to validate the results using metrics and statistics. It offers a;

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Recent Studies on Computational Intelligence

This book gathers the latest quality research work of Ph.D. students working on the current areas presented in the Doctoral Symposium on;

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Grid Computing

computing, the author focuses on Web services technologies and how they are adopted for Grid computing. He also discusses the advantages of using a;

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Grid Computing

that discusses the use of a Grid computing Web-based portal. It then examines the underlying action of job submission using a command-line;

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Intelligent Distributed Computing XII

architectural and algorithmic findings in these fields. A major focus is placed on new techniques and applications for evolutionary computation, swarm;

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Recent Advances in Swarm Intelligence and Evolutionary Computation

This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on;

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Job Scheduling Strategies for Parallel Processing

This book constitutes the thoroughly refereed post-conference proceedings of the 18th International Workshop on Job Scheduling Strategies;

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Particle Swarm Optimization

multi-objective particle swarm optimisation for the tuning of process control laws; convergence issues in particle swarm optimisation; study on;

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Advances in Swarm Intelligence

This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence;

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Advances in Swarm Intelligence

This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence;

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Advances in Swarm Intelligence

This book and its companion volume, LNCS vols. 7928 and 7929 constitute the proceedings of the 4th International Conference on Swarm;

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Swarm Intelligence Based Optimization

This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence;

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Grid Computing

; explores job control using service-level agreements; introduces the Composable Services Architecture for dynamic service provisioning, and the;

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Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems

covers hot topics in the design, administration and management of dynamic grid environments with a special emphasis on the preferences and;

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A Book of Open Shop Scheduling

This book provides an in-depth presentation of algorithms for and complexity of open shop scheduling. Open shops allow operations of a job;

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Advances in Swarm and Computational Intelligence

Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China;

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Advances in Swarm and Computational Intelligence

Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China;

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Advances in Swarm and Computational Intelligence

Swarm Intelligence, ICSI 2015 held in conjunction with the Second BRICS Congress on Computational Intelligence, CCI 2015, held in Beijing, China;

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Swarm Intelligence

Discusses variants that focus more on binary, discrete, constrained, adaptive, and chaotic versions of the swarm optimizers Depicts real-world;

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Swarm Intelligence

applied on different data sets with benchmarking using different evaluation criteria. The book provides beginners with a solid foundation of swarm;

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Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

using Swarm and Evolutionary algorithms. Focuses on applying Swarm Intelligence and Evolutionary Algorithms for Heart Disease detection;

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Native Docker Clustering with Swarm

components of the Docker ecosystem. * Optimize Swarm and SwarmKit features for scaling massive applications through containers. * Learn about;

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Knowledge Mining Using Intelligent Agents

discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader;

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Proceedings of International Conference on Artificial Intelligence, Smart Grid and Smart City Applications

book is Making pathway for the grid of future with the emphasis on trends in Smart Grid, renewable interconnection issues, planning-operation;

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High-Performance Computing

for distributed computing, and novel task-scheduling algorithms Clusters and grid computing: design requirements, grid middleware;

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AI IA 2015 Advances in Artificial Intelligence

submissions. The papers are organized in topical sections on swarm intelligence and genetic algorithms; computer vision; multi-agents systems;

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