Version 0.3.0
We add a few new features to this version:
Multi-objectives optimization
- optimization algorithm
add MOEA/D(Multiobjective Evolutionary Algorithm Based on Decomposition)
add Tchebycheff, Weighted Sum, Penalty-based boundary intersection approach(PBI) decompose approachs
add shuffle crossover, uniform crossover, single point crossover strategies for GA based algorithms
automatically normalize objectives of different dimensions
automatically convert maximization problem to minimization problem
add NSGA-II(Non-dominated Sorting Genetic Algorithm)
add R-NSGA-II(A new dominance relation for multicriteria decision making)
- builtin objectives
number of features
prediction performance