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Genetic and Evolutionary Methods - 
      Hamid R. Arabnia
    
      Ray R. Hashemi
    
      George Jandieri
    
      Ashu M. G. Solo
    
      Fernando G. Tinetti

Genetic and Evolutionary Methods

Hamid R. Arabnia (Redaktør) ; Ray R. Hashemi (Redaktør) ; George Jandieri (Redaktør) ; Ashu M. G. Solo (Redaktør) ; Fernando G. Tinetti (Redaktør)

Includes topics such as: Agent-Based Algorithms, Genetic Algorithms, Dynamic Optimization, Genetic Programming, and more. Les mer
Vår pris
381,-

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Leveringstid: Sendes innen 21 dager

Paperback
Legg i
Paperback
Legg i
Vår pris: 381,-

(Paperback) Fri frakt!
Leveringstid: Sendes innen 21 dager

Includes topics such as: Agent-Based Algorithms, Genetic Algorithms, Dynamic Optimization, Genetic Programming, and more.
FAKTA
Utgitt:
Forlag: C. S. R. E. A.
Innbinding: Paperback
Språk: Engelsk
ISBN: 9781601322739
Format: 28 x 20 cm
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VURDERING
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Session: Simulated Annealing, Swarm Optimization Algorithms and Applications + Agent-Based Algorithms
1) A Novel Autoregressive Model for System State Prediction
2) Optimized Path Planning for a Mobile Real Time Location System (mRTLS) in an Emergency Department
3) Direction of Arrival Estimation Using Particle Swarm Optimization-based SPECC
4) Enhancement of Power Quality through Particle Swarm Optimization

Session: Evolutionary Algorithms and Applications + Ann + Forecasting and Time Series Analysis
1) Forgetting Beneficial Knowledge in Decomposition-Based Reinforcement Learning Using Evolutionary Computation
2) EvolMusic - A Preference Learning Accompanist
3) Evolution of Event and Delay Controlled Neural Network for Locomotion
Session: Genetic Algorithms and Applications + Genetic Programming + Dynamic Optimization
1) The Parallelization of Two Constrained Optimization Problems Using Evolutionary Algorithm
2) Improving the Multi-Restart Local Search Algorithm by Permutation Matrices and Sorted Completion Times for the Flow Shop Scheduling Problem
3) Design of a Pid Control Gains for a Robotic Manipulator under Parametric Uncertainties by Using De-SQP Algorithm
4) Optimal Selection of Milling Parameters for Maximum Profit Rate by Genetic Algorithms
Hamid R. Arabnia is Professor, Computer Science; Editor-in-Chief, The Journal of Supercomputing (Springer); Elected Fellow, Int'l Society of Intelligent Biological Medicine (ISIBM); The University of Georgia, Department of Computer Science.