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

dynamic grid environment may be incomplete, imprecise, and fragmented, which complicates the specification of proper evaluation criteria and which;

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Metaheuristics

of metaheuristics are considered as a toolbox for: Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary;

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Hybrid Metaheuristics

readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objectivemulti-objective;

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Metaheuristics for Production Scheduling

, Caroline Gagne, Arnaud Zinflou and Marc Gravel. 11. Multi-Objective Metaheuristics for the Joint Scheduling of Production and Maintenance, Ali;

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Large Scale Scientific Computing

media; large-scale models: numerical methods, parallel computations and applications; numerical solvers on many-core systems; cloud and grid;

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Handbook of Approximation Algorithms and Metaheuristics, Second Edition

search, evolutionary computation, local search, neural networks, and other metaheuristics. It also explores multi-objective optimization;

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Evolutionary Computation in Scheduling

, application of sub-population scheduling algorithm in multi-population evolutionary dynamic optimization, task scheduling in cloud environments;

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Optimization Models and Concepts in Production Management

hierarchical production planning and large scale scheduling, optimal production control, exact and heuristic algorithms for production scheduling and;

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Scheduling Of Large-Scale Virtualized Infrastructures

System virtualization has become increasingly common in distributed systems because of its functionality and convenience for the owners and;

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Large Scale Renewable Power Generation

development of medium voltage converters for step-up-transformer-less direct grid integration of renewable generation units, grid codes and resiliency;

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Job Scheduling Strategies for Parallel Processing

for Parallel Processing, JSSPP 2017, held in Orlando, FL, USA, in June 2017.The 10 revised full papers presented in this book were carefully;

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Large-Scale Scientific Computing

from 64 submissions. The general theme for LSSC 2015 was Large-Scale Scientific Computing with a particular focus on the organized special;

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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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Genetic Programming for Production Scheduling

This book introduces readers to an evolutionary learning approach, specifically genetic programming (GP), for production scheduling. The;

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Artificial Intelligence Algorithms and Applications

topical sections: new frontier in evolutionary algorithms; evolutionary multi-objective and dynamic optimization; intelligent multimedia systems;

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Swarm Intelligence Based Optimization

discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization; artificial immune systems, particle;

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Large-Scale Solar Power System Design (GreenSource Books)

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to;

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Task Scheduling for Multi-core and Parallel Architectures

This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures;

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Algorithms for Large Scale Linear Algebraic Systems:

for ill-conditioned matrices, preconditioning effectiveness, ordering procedures, stability factors, hybrid procedures and stopping criteria;

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Evolutionary Multi-Criterion Optimization

This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017;

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Data Management in Grid and Peer to Peer Systems

Since 2008, Globe has been an annual international conference on data management in grid and peer-to-peer systems. Initially, grid and peer;

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Smart and Sustainable Power Systems

the contemporary electricity grid, offers excellent opportunities for energy efficiency improvements and better integration of distributed;

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Grid Resource Management

Grid technology offers the potential for providing secure access to remote services, thereby promoting scientific collaborations in an;

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Advances in Metaheuristics

implementation of metaheuristic strategies to multi-objective optimization problems. With this book, readers can learn to solve real-world engineering;

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Advances in Metaheuristics

implementation of metaheuristic strategies to multi-objective optimization problems. With this book, readers can learn to solve real-world engineering;

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Large Scale Grid Integration of Renewable Energy Sources

. Topics covered include power grid as part of a 100% renewable energy system; international requirements for large integration of renewable energy;

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Intelligent Decision Systems in Large-Scale Distributed Environments

game theoretical models and computational intelligent techniques, such as genetic, memetic and evolutionary algorithms, to intelligent multi;

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