郑州大学计算智能实验室
Computational Intelligence Laboratory
Real World Opt
CEC 2011 competition
Problem definitions and evaluation criteria for CEC 2011 competition on testing evolutionary algorithms on real world optimization problems（paper）（link）
Multi-layer Perceptron
Fitness distance correlation of neural network error surfaces: A scalable, continuous optimization problem（paper）（link）
Hydro-thermal Power Scheduling Problem
Dynamic multi-objective optimization and decision-making using modified NSGA-II: a case study on hydro-thermal power scheduling（paper）（link）
Fundamental Parameters of Antennas
Fundamental Parameters of Antennas（paper）（link）
A Pattern Synthesis of Circular Arrays by Phase Adjustment（paper）
Benchmark antenna problems for evolutionary optimization algorithms（paper）（link）
Radiation characteristics of thin-wire V-antennas excited by arbitrary time dependent currents（paper）（link）
MINPACK-2 Test Problem
User Guide for the MINPACK-2 Test Problem Collection（paper）（link）
Xor Problem
A class of gradient unconstrained minimization algorithms with adaptive step size（paper）（link）
Stretching technique for obtaining global minimizers through particle swarm optimization（paper）（link）
Dynamic Hospital Resource Management
Evolutionary multiobjective optimization for dynamic hospital resource management（paper）
Real World Oriented Test Functions
Real world oriented test functions（paper）（link）
Robust Optimization Problem
A directed artificial bee colony algorithm（paper）（link）
A Parallel Double-Level Multiobjective Evolutionary Algorithm for Robust Optimization（paper）（link）
Robust optimization using Bayesian optimization algorithm Early detection of non-robust solutions（paper）（link）