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Full Description
Genetic and Evolutionary Methods is a compendium of articles and papers that were presented at GEM '14, an international conference that serves researchers, scholars, professionals, students, and academicians.
Selected topics include:
Simulated Annealing, Swarm Optimization Algorithms and Applications + Agent-Based Algorithms
Evolutionay Algorithms and Applications + ANN + Forcasting and Time Series Analysis
Genetic Algorithms and Applications + Genetic Programming + Dynamic Optimization
Contents
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
