Add papers from 2016

[fergunet]

These are the papers I've added to the reference analysis, so you can choose some of them from here:

• GPU-based parallel genetic approach to large-scale travelling salesman problem
• GPU-based parallel fuzzy c-mean clustering model via genetic algorithm
• A Survey on the Metaheuristics Applied to QAP for the Graphics Processing Units
• CPU+GPU Heterogeneous Computing Orientated Multi-Objective Test Case Prioritization
• Development and validation of real-time simulation of X-ray imaging with respiratory motion
• Improving the performance of GPU-based genetic programming through exploitation of on-chip memory
• Morphological Coevolution for Fluid Dynamical-Related Risk Mitigation
• Parallel genetic algorithm based automatic path planning for crane lifting in complex environments
• Efficient Search of Relevant Structures in Complex Systems
• Improving the Energy Efficiency of Evolutionary Multi-objective Algorithms
• Fast Hybrid BSA-DE-SA Algorithm on GPU
• A Novel Grouping Genetic Algorithm for the One-Dimensional Bin Packing Problem on GPU
• Image Enhancement via Cloud Cascade Control Based Sub-Image-Clipped Histogram Equalization
• GPU-based Neural Network Learning Algorithm Based on Differential Evolution with Improved Elite Strategy
• Parallel Image Dehazing Algorithm Based on GPU Using Fuzzy System and Hybird Evolution Algorithm
• Distributed Quadratic Programming Solver for Kernel SVM using Genetic Algorithm
• 100 Million Dimensions Large-Scale Global Optimization Using Distributed GPU Computing
• A Successful Parallel Implementation of NSGA-II on GPU for the Energy Dispatch Problem on Hydroelectric Power Plants
• GPU-Aware Genetic Estimation of Hidden Markov Models for Workload Classification Problems
• Evolutionary Algorithm for Seed Selection in Social Influence Process
• Information entropy multi-population genetic algorithm based on CUDA
• A Parallel Multi-objective Memetic Algorithm Based on the IGD plus Indicator
• Aerodynamic Optimization of Supersonic Compressor Cascade using Differential Evolution on GPU
• A Schema-Based DNA Algorithm Applicable on Graphics Processing Units
• Evolving Protection Measures for Lava Risk Management Decision Making
• An Efficient Large-Scale Sensor Deployment Using a Parallel Genetic Algorithm Based on CUDA
• Parallel Implementation of an Evolutionary Algorithm for Function Minimization on a GPGPU
• On the Accelerated Convergence of Genetic Algorithm Using GPU Parallel Operations
• Auto-tuning for GPGPU applications using performance and energy model

[amorag]

Is this finished? I mean, are all the papers included in the text and in the graphs? :D

[fergunet]

Yes, @pacastillo added new references to the paper from that list, and I also updated all the graphs and numbers.

[JJ]

Please check references after adding them. There are some of them with "source cham" that are sometimes incorrect.

[fergunet]

OK, but IDK what is "source cham" :P. If I execute bibtex it gives me 0 errors. Could you give me an example?

[JJ]

Yes, I fixed that. It gave 3 errors before.

[amorag]

I think this issue is finished. ;)