郑州大学计算智能实验室
Computational Intelligence Laboratory
Dynamic Opt
Dynamic Optimization Problem
Dynamic vehicle routing
Notes on dynamic vehicle routing-the state of the art（paper）
Moving peaks benchmark
Memory enhanced evolutionary algorithms for changing optimization problems（paper）
Dynamic knapsack problems (DKPs)
The dynamic and stochastic knapsack problem（paper）
Unbounded knapsack problem: Dynamic programming revisited（paper）（link）
XOR DOP generator
Non-stationary problem optimization using the primal-dual genetic algorithm（paper）
Population-based incremental learning with associative memory for dynamic environments（paper）（link）
Experimental study on population-based incremental learning algorithms for dynamic optimization problems（paper）
Generalized dynamic benchmark generator
An analysis of dynamic severity and population size（paper）（link）
A generalized approach to construct benchmark problems for dynamic optimization（paper）（link）
An investigation into the use of hypermutation as an adaptive operator in genetic algorithms having continuous（paper）
Test Problem Generator
DF1
A test problem generator for non-stationary environments（paper）（link）
Evolvability in dynamic fitness landscapes: A genetic algorithm approach（paper）（link）
DTSP
A benchmark generator for dynamic optimization（paper）（link）
GDBG
Additional test functions of CEC 2009（code）（link）
Introduction to NP-Completeness of Knapsack Problems（paper）（link）
Novel composition test functions fornumerical global optimization（paper）（link）
Benchmark generator for CEC 2009 competition on dynamic optimization（paper）（link）
A new approach to solving dynamic TSP, Proc of the 6th Int. Conf. on Simulated Evolution and Learning（paper）
Dynamic optimization test problem
Handbook of test problems in local and global optimization（link）
Evolutionary Multiobjective Optimization in Dynamic Environments: A Set of Novel Benchmark Functions（link）（code）（link1）
Optimal control: theory, algorithms, and applications（paper）（link）
Global optimization of the bifunctional catalyst problem（paper）
Optimal control. Transl. from the Russian by V. M. Volosov（paper）
Evaluation of the parameters used in iterative dynamic programming（paper）
Dynamic optimization of batch reactors using adaptive stochastic algorithms（paper）（link）
Simultaneous strategies for data reconciliation and gross error detection of nonlinear systems（paper）