References
- Al-Dabbagh R. D., Neri F., Idris N., Baba M. S., Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy, Swarm and Evolutionary Computation, 43, 2018, 284–311.
- Brest J., Greiner S., Boskovic B., Mernik M., Zumer V., Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems, IEEE Transactions on Evolutionary Computation, 10, 2006, 646-–657.
- Brest J., Bošković B.,Žumer V., An improved self-adaptive differential evolution algorithm in single objective constrained real-parameter optimization, 2010 IEEE Congress on Evolutionary Computation (CEC), 2010, 1–8.
- Brest J., Maučec M. S., Bošković B., iL-SHADE: Improved L-SHADE algorithm for single objective real-parameter optimization, 2016 IEEE Congress on Evolutionary Computation (CEC), 2016, 1188–1195.
- Brest J., Maučec M. S., and Bošković B., Single objective real-parameter optimization: Algorithm jSO, 2017 IEEE Congress on Evolutionary Computation (CEC), 2017, 1311–1318.
- Cheng J., Pan Z., Liang H., Gao Z., Gao J., Differential evolution algorithm with fitness and diversity ranking-based mutation operator, Swarm and Evolutionary Computation, 61, 2021, 100816.
- Das S., Suganthan P. N., Differential evolution : A survey of the state-of-the-art, IEEE Transactions on Evolutionary Computation, 15, 2011, 4-–31.
- Das S., Mullick S. S., Suganthan P. N., Recent advances in differential evolution - An updated survey, Swarm and Evolutionary Computation, 27, 2016, 1-–30.
- Dorigo M., Stützle T., Ant colony optimization, MIT Press, Cambridge, MA, 2004.
- Dorigo M., Socha K., Ant colony optimization for continuous domains, European Journal of Operational Research, 185, 2008, 1155-–1173.
- Hinterding R., Michalewicz Z., Eiben A. E., Adaptation in evolutionary computation : A survey, in: Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC’97), 1997, 65–69.
- Leon M., Xiong N., Adapting differential evolution algorithms for continuous optimization via greedy adjustment of control parameters, J. Artif. Intell. Soft Comput. Res., 6, 2016, 103—118.
- Mallipeddi R., Suganthan P. N., Pan Q. K., Tasgetiren M. F., Differential evolution algorithm with ensemble of parameters and mutation strategies, Appl. Soft Comput., 11, 2011, 1679–1696.
- Meng Z., Pan J. S., PaDE: An enhanced differential evolution algorithm with novel control parameter adaptation schemes for numerical optimization, Knowledge-Based Systems, 168, 2019, 80-99.
- Price K., Storn R., Differential evolution: a simple evolution strategy for fast optimization, Dr Dobb’s. J. Softw. Tools, 22, 1997, 18-–24.
- Qin A. K., Huang V. L., Suganthan P. N., Differential evolution algorithm with strategy adaptation for global numerical optimization, IEEE Congress on Evolutionary Computation, 13, 2009, 398—417.
- Singsathid P., Wetweerapong J., Solving Continuous Optimization Problems by Ant Colony Optimization with Domain Partitioning Technique, in: Proceedings of the 23rd annual meeting in mathematics (AMM2018), 2018, 257–262.
- Storn R., Price K., Differential evolution: A simple and efficient adaptive scheme for global optimization over continuous spaces, Technical Report TR-95-012, ICSI, Berkeley, 1995.
- Storn R., Price K., Differential evolution – a simple and efficient heuristic for global optimization over continuous spaces, J. Global Optim., 11, 1997, 341-–359.
- Storn R., Differential evolution research-trends and open question, in: U. K. Chakraborty (ed.), Advances in Differential Evolution, Springer, Berlin, 2008, 1–31.
- Suganthan P. N., Hansen N., Liang J., Deb K., Chen Y., Auger A., Tiwari S., Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization, Natural Computing, 2005, 341–357.
- Tanabe R., Fukunaga A., Success-History based parameter adaptation for differential evolution, 2013 IEEE Congress on Evolutionary Computation (CEC), 2013, 71—78.
- Tanabe R., Fukunaga A., Improving the search performance of SHADE using linear population size reduction, 2014 IEEE Congress on Evolutionary Computation (CEC), 2014, 1658–1665.
- Tvrdík J., Competitive differential evolution, in: R., Matoušek and P. Ošmera (eds.) MENDEL 2006, 12th International Conference on Soft Computing, University of Technology, Brno, 2006, 7–12.
- Wang Y., Cai Z., Zhang Q., Differential evolution with composite trial vector generation strategies and control parameters, IEEE Transactions on Evolutionary Computation, 15, 2011, 55 – 66.
- Wetweerapong J., Puphasuk P., An improved differential evolution algorithm with a restart technique to solve systems of nonlinear equations, An International Journal of Optimization and Control: Theories & Applications, 10, 2020, 118–136.
- Wongpen J., Wetweerapong J., Puphasuk P., Finding a maximum clique in social networks using a modified differential evolution algorithm, WSEAS Transactions on Systems and Control, 14, 2019, 333–342.
- Wu G., Shen X., Li H., Chen H., Lin A., Suganthan P. N., Ensemble of differential evolution variants, Information Sciences, 423, 2018, 172—186.
- Xiao J., Li L.P., A hybrid ant colony optimization for continuous domains, Expert Systems with Applications, 38, 2011, 11072-–11077.
- Zhang J., Sanderson A. C., JADE: adaptive differential evolution with optional external archive, IEEE Congress on Evolutionary Computation, 13, 2009, 945-–958.