郑州大学计算智能实验室

Computational Intelligence Laboratory

动态优化问题测试集


动态优化问题

Dynamic vehicle routing

Notes on dynamic vehicle routing-the state of the artpaper

Moving peaks benchmark

Memory enhanced evolutionary algorithms for changing optimization problemspaper

Dynamic knapsack problems (DKPs)

The dynamic and stochastic knapsack problempaper)(link

Unbounded knapsack problem: Dynamic programming revisited(paper)(link

XOR DOP generator

Non-stationary problem optimization using the primal-dual genetic algorithmpaper

Population-based incremental learning with associative memory for dynamic environmentspaper)(link

Experimental study on population-based incremental learning algorithms for dynamic optimization problemspaper

Generalized dynamic benchmark generator

An analysis of dynamic severity and population sizepaper)(link

A generalized approach to construct benchmark problems for dynamic optimizationpaper)(link

An investigation into the use of hypermutation as an adaptive operator in genetic algorithms having continuouspaper


测试问题产生器

测试问题产生器DF1

A test problem generator for non-stationary environmentspaper)(link

Evolvability in dynamic fitness landscapes: A genetic algorithm approachpaper)(link

DTSP产生器

A benchmark generator for dynamic optimizationpaper)(link

GDBG产生器

Additional test functions of CEC’2009code)(link

Introduction to NP-Completeness of Knapsack Problemspaper)(link

Novel composition test functions fornumerical global optimizationpaper)(link

Benchmark generator for CEC 2009 competition on dynamic optimizationpaper)(link

A new approach to solving dynamic TSP, Proc of the 6th Int. Conf. on Simulated Evolution and Learningpaper


动态优化的测试问题

包括化学反应器网络问题参数估计问题最优控制问题等

Handbook of test problems in local and global optimizationlink

Evolutionary Multiobjective Optimization in Dynamic Environments: A Set of Novel Benchmark Functionslink)(code)(link1

Optimal control: theory, algorithms, and applicationspaper)(link

Global optimization of the bifunctional catalyst problempaper

Optimal control. Transl. from the Russian by V. M. Volosovpaper

Evaluation of the parameters used in iterative dynamic programmingpaper

Dynamic optimization of batch reactors using adaptive stochastic algorithmspaper)(link

Simultaneous strategies for data reconciliation and gross error detection of nonlinear systemspaper