328
Views
57
CrossRef citations to date
0
Altmetric
Original Articles

Differential evolution and differential ant-stigmergy on dynamic optimisation problems

, , , , &
Pages 663-679 | Received 20 Oct 2010, Accepted 13 Jul 2011, Published online: 26 Sep 2011

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (4)

Xinxin Wang, Yurui Chang, Zeshui Xu, Zidong Wang & Visakan Kadirkamanathan. (2021) 50 Years of international journal of systems science: a review of the past and trends for the future. International Journal of Systems Science 52:8, pages 1515-1538.
Read now
Andrej Sarjaš, Amor Chowdhury & Rajko Svečko. (2016) Multi-criteria optimal pole assignment robust controller design for uncertainty systems using an evolutionary algorithm. International Journal of Systems Science 47:12, pages 2792-2807.
Read now
Nantiwat Pholdee & Sujin Bureerat. (2016) Hybrid real-code ant colony optimisation for constrained mechanical design. International Journal of Systems Science 47:2, pages 474-491.
Read now
Dong Huang, Xiaolong Wang, Ronggang Dou, Shiwen Liu & Jia Fang. (2015) N-gram distribution and unification gain problem and its optimal solution. International Journal of Systems Science 46:7, pages 1327-1336.
Read now

Articles from other publishers (53)

Alireza Rezvanian, S. Mehdi Vahidipour & Ali Sadollah. 2023. Ant Colony Optimization - Recent Variants, Application and Perspectives [Working Title]. Ant Colony Optimization - Recent Variants, Application and Perspectives [Working Title].
Valentín Osuna-Enciso & Elizabeth Guevara-Martínez. (2022) A Stigmergy-Based Differential Evolution. Applied Sciences 12:12, pages 6093.
Crossref
Danial Yazdani, Ran Cheng, Donya Yazdani, Jurgen Branke, Yaochu Jin & Xin Yao. (2021) A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part B. IEEE Transactions on Evolutionary Computation 25:4, pages 630-650.
Crossref
Guanzhong Chen, Yue Shen, Nanzhu Qu & Bo He. (2021) Path planning of AUV during diving process based on behavioral decision-making. Ocean Engineering 234, pages 109073.
Crossref
Kai Zhang & Yicheng Yu. (2021) An Enhancing Differential Evolution Algorithm with a Rank-Up Selection: RUSDE. Mathematics 9:5, pages 569.
Crossref
Reza Vafashoar, Hossein Morshedlou, Alireza Rezvanian & Mohammad Reza MeybodiReza Vafashoar, Hossein Morshedlou, Alireza Rezvanian & Mohammad Reza Meybodi. 2021. Cellular Learning Automata: Theory and Applications. Cellular Learning Automata: Theory and Applications 157 224 .
Abhishek Dixit, Ashish Mani & Rohit Bansal. (2020) DEPSOSVM: variant of differential evolution based on PSO for image and text data classification. International Journal of Intelligent Computing and Cybernetics 13:2, pages 223-238.
Crossref
Aleš Zamuda & Elena Lloret. (2020) Optimizing Data-Driven Models for Summarization as Parallel Tasks. Journal of Computational Science 42, pages 101101.
Crossref
Reza Vafashoar & Mohammad Reza Meybodi. (2020) A multi-population differential evolution algorithm based on cellular learning automata and evolutionary context information for optimization in dynamic environments. Applied Soft Computing 88, pages 106009.
Crossref
Marilena Di Carlo, Massimiliano Vasile & Edmondo Minisci. (2019) Adaptive multi-population inflationary differential evolution. Soft Computing 24:5, pages 3861-3891.
Crossref
Husheng Wu & Renbin Xiao. (2020) Flexible Wolf Pack Algorithm for Dynamic Multidimensional Knapsack Problems. Research 2020.
Crossref
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy & Ales Zamuda. (2019) Distance based parameter adaptation for Success-History based Differential Evolution. Swarm and Evolutionary Computation 50, pages 100462.
Crossref
Javidan Kazemi Kordestani, Amir Ehsan Ranginkaman, Mohammad Reza Meybodi & Pavel Novoa-Hernández. (2019) A novel framework for improving multi-population algorithms for dynamic optimization problems: A scheduling approach. Swarm and Evolutionary Computation 44, pages 788-805.
Crossref
Xiong-Wen Luo, Zi-Jia Wang, Ren-Chu Guan, Zhi-Hui Zhan & Ying Gao. (2019) A Distributed Multiple Populations Framework for Evolutionary Algorithm in Solving Dynamic Optimization Problems. IEEE Access 7, pages 44372-44390.
Crossref
Roman Senkerik, Michal Pluhacek, Adam Viktorin, Tomas Kadavy & Zuzana Kominkova Oplatkova. 2019. Recent Advances in Soft Computing. Recent Advances in Soft Computing 180 191 .
Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy & Zuzana Kominkova Oplatkova. 2019. Artificial Intelligence and Algorithms in Intelligent Systems. Artificial Intelligence and Algorithms in Intelligent Systems 489 498 .
Simone Spolaor, Marco Gribaudo, Mauro Iacono, Tomas Kadavy, Zuzana Komínková Oplatková, Giancarlo Mauri, Sabri Pllana, Roman Senkerik, Natalija Stojanovic, Esko Turunen, Adam Viktorin, Salvatore Vitabile, Aleš Zamuda & Marco S. Nobile. 2019. High-Performance Modelling and Simulation for Big Data Applications. High-Performance Modelling and Simulation for Big Data Applications 221 249 .
Adam Viktorin, Roman Senkerik, Michal Pluhacek & Tomas Kadavy. (2018) Analysing knowledge transfer in SHADE via complex network. Logic Journal of the IGPL.
Crossref
Roman Senkerik, Adam Viktorin, Michal Pluhacek & Tomas Kadavy. (2018) On the Population Diversity for the Chaotic Differential Evolution. On the Population Diversity for the Chaotic Differential Evolution.
Zuzana Kominkova Oplatkova, Roman Senkerik & Adam Viktorin. (2018) Differential Evolution and Analytic Programming in the case of Trigonometric Identities Discovery. Differential Evolution and Analytic Programming in the case of Trigonometric Identities Discovery.
Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy & Zuzana Kominkova Oplatkova. (2018) Differential Evolution and Chaotic Series. Differential Evolution and Chaotic Series.
Ayad Turky, Salwani Abdullah & Anas Dawod. (2018) A dual-population multi operators harmony search algorithm for dynamic optimization problems. Computers & Industrial Engineering 117, pages 19-28.
Crossref
Roman Senkerik, Adam Viktorin, Michal Pluhacek & Tomas Kadavy. 2018. Bioinspired Optimization Methods and Their Applications. Bioinspired Optimization Methods and Their Applications 283 294 .
Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy & Ivan Zelinka. 2018. AETA 2017 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application. AETA 2017 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application 123 132 .
Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy & Zuzana Kominkova Oplatkova. (2017) Performance comparison of differential evolution driving analytic programming for regression. Performance comparison of differential evolution driving analytic programming for regression.
Adam Viktorin, Roman Senkerik, Michal Pluhacek, Tomas Kadavy & Ales Zamuda. (2017) Distance based parameter adaptation for differential evolution. Distance based parameter adaptation for differential evolution.
Borko Boskovic & Janez Brest. (2017) Clustering and differential evolution for multimodal optimization. Clustering and differential evolution for multimodal optimization.
Wasim A. Hussein, Siti Norul Huda Sheikh Abdullah & Shahnorbanun Sahran. (2017) The Patch-Levy-Based Bees Algorithm Applied to Dynamic Optimization Problems. Discrete Dynamics in Nature and Society 2017, pages 1-27.
Crossref
Adam Viktorin, Roman Senkerik, Michal Pluhacek & Tomas Kadavy. 2017. Computing and Combinatorics. Computing and Combinatorics 666 677 .
Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy & Ivan Zelinka. 2017. Hybrid Artificial Intelligent Systems. Hybrid Artificial Intelligent Systems 686 698 .
Adam Viktorin, Michal Pluhacek, Roman Senkerik & Tomas Kadavy. 2017. Hybrid Artificial Intelligent Systems. Hybrid Artificial Intelligent Systems 662 673 .
Roman Senkerik, Adam Viktorin, Michal Pluhacek, Tomas Kadavy & Ivan Zelinka. 2017. Artificial Intelligence and Soft Computing. Artificial Intelligence and Soft Computing 676 687 .
Adam Viktorin, Roman Senkerik, Michal Pluhacek & Ales Zamuda. (2016) Steady success clusters in Differential Evolution. Steady success clusters in Differential Evolution.
Rohan Mukherjee, Shantanab Debchoudhury & Swagatam Das. (2016) Modified Differential Evolution with Locality induced Genetic Operators for dynamic optimization. European Journal of Operational Research 253:2, pages 337-355.
Crossref
Ales Zamuda, Jose Daniel Hernandez Sosa & Leonhard Adler. (2016) Improving constrained glider trajectories for ocean eddy border sampling within extended mission planning time. Improving constrained glider trajectories for ocean eddy border sampling within extended mission planning time.
Aleš Zamuda, José Daniel Hernández Sosa & Leonhard Adler. (2016) Constrained differential evolution optimization for underwater glider path planning in sub-mesoscale eddy sampling. Applied Soft Computing 42, pages 93-118.
Crossref
Babak Nasiri, MohammadReza Meybodi & MohammadMehdi Ebadzadeh. (2016) History-Driven Particle Swarm Optimization in dynamic and uncertain environments. Neurocomputing 172, pages 356-370.
Crossref
Aleš Zamuda & Janez Brest. (2015) Self-adaptive control parameters׳ randomization frequency and propagations in differential evolution. Swarm and Evolutionary Computation 25, pages 72-99.
Crossref
Shu-Mei Guo, Chin-Chang Yang, Pang-Han Hsu & Jason S.-H. Tsai. (2015) Improving Differential Evolution With a Successful-Parent-Selecting Framework. IEEE Transactions on Evolutionary Computation 19:5, pages 717-730.
Crossref
Andrej Sarjaš, Rajko Svečko & Amor Chowdhury. (2015) An H∞ modified robust disturbance observer design for mechanical-positioning systems. International Journal of Control, Automation and Systems 13:3, pages 575-586.
Crossref
Ilpo Poikolainen, Ferrante Neri & Fabio Caraffini. (2015) Cluster-Based Population Initialization for differential evolution frameworks. Information Sciences 297, pages 216-235.
Crossref
Janez Brest. 2014. Encyclopedia of Complexity and Systems Science. Encyclopedia of Complexity and Systems Science 1 7 .
Aleš Zamuda & José Daniel Hernández-Sosa. 2015. Computer Aided Systems Theory – EUROCAST 2015. Computer Aided Systems Theory – EUROCAST 2015 853 860 .
Janez Brest, Aleš Zamuda & Borko Bošković. 2015. Adaptation and Hybridization in Computational Intelligence. Adaptation and Hybridization in Computational Intelligence 53 68 .
Aleš Zamuda & José Daniel Hernández Sosa. (2014) Differential evolution and underwater glider path planning applied to the short-term opportunistic sampling of dynamic mesoscale ocean structures. Applied Soft Computing 24, pages 95-108.
Crossref
Aleš Zamuda & Janez Brest. (2014) Vectorized procedural models for animated trees reconstruction using differential evolution. Information Sciences 278, pages 1-21.
Crossref
Niki Veček, Marjan Mernik & Matej Črepinšek. (2014) A chess rating system for evolutionary algorithms: A new method for the comparison and ranking of evolutionary algorithms. Information Sciences 277, pages 656-679.
Crossref
Swagatam Das, Ankush Mandal & Rohan Mukherjee. (2014) An Adaptive Differential Evolution Algorithm for Global Optimization in Dynamic Environments. IEEE Transactions on Cybernetics 44:6, pages 966-978.
Crossref
Adil Baykasoğlu & Fehmi Burcin Ozsoydan. (2014) An improved firefly algorithm for solving dynamic multidimensional knapsack problems. Expert Systems with Applications 41:8, pages 3712-3725.
Crossref
Fabio Caraffini, Ferrante Neri & Lorenzo Picinali. (2014) An analysis on separability for Memetic Computing automatic design. Information Sciences 265, pages 1-22.
Crossref
Rohan Mukherjee, Gyana Ranjan Patra, Rupam Kundu & Swagatam Das. (2014) Cluster-based differential evolution with Crowding Archive for niching in dynamic environments. Information Sciences 267, pages 58-82.
Crossref
Ales Zamuda, Janez Brest & Efren Mezura-Montes. (2013) Structured Population Size Reduction Differential Evolution with Multiple Mutation Strategies on CEC 2013 real parameter optimization. Structured Population Size Reduction Differential Evolution with Multiple Mutation Strategies on CEC 2013 real parameter optimization.
Aleš Zamuda & Janez Brest. 2012. Swarm and Evolutionary Computation. Swarm and Evolutionary Computation 154 161 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.