Parallel population-based algorithm portfolios: An empirical study
Although many algorithms have been proposed, no single algorithm is better than others on all types of problems. Therefore, the search characteristics of different algorithms that show complementary behavior can be combined through portfolio structures to improve the performance on a wider set of pr...
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| Vydané v: | Neurocomputing (Amsterdam) Ročník 247; s. 115 - 125 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier B.V
19.07.2017
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| ISSN: | 0925-2312, 1872-8286 |
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| Abstract | Although many algorithms have been proposed, no single algorithm is better than others on all types of problems. Therefore, the search characteristics of different algorithms that show complementary behavior can be combined through portfolio structures to improve the performance on a wider set of problems. In this work, a portfolio of the Artificial Bee Colony, Differential Evolution and Particle Swarm Optimization algorithms was constructed and the first parallel implementation of the population-based algorithm portfolio was carried out by means of a Message Passing Interface environment. The parallel implementation of an algorithm or a portfolio can be performed by different models such as master-slave, coarse-grained or a hybrid of both, as used in this study. Hence, the efficiency and running time of various parallel implementations with different parameter values and combinations were investigated on benchmark problems. The performance of the parallel portfolio was compared to those of the single constituent algorithms. The results showed that the proposed models reduced the running time and the portfolio delivered a robust performance compared to each constituent algorithm. It is observed that the speedup gained over the sequential counterpart changed significantly depending on the structure of the portfolio. The portfolio is also applied to a training of neural networks which has been used for time series prediction. Result demonstrate that, portfolio is able to produce good prediction accuracy. |
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| AbstractList | Although many algorithms have been proposed, no single algorithm is better than others on all types of problems. Therefore, the search characteristics of different algorithms that show complementary behavior can be combined through portfolio structures to improve the performance on a wider set of problems. In this work, a portfolio of the Artificial Bee Colony, Differential Evolution and Particle Swarm Optimization algorithms was constructed and the first parallel implementation of the population-based algorithm portfolio was carried out by means of a Message Passing Interface environment. The parallel implementation of an algorithm or a portfolio can be performed by different models such as master-slave, coarse-grained or a hybrid of both, as used in this study. Hence, the efficiency and running time of various parallel implementations with different parameter values and combinations were investigated on benchmark problems. The performance of the parallel portfolio was compared to those of the single constituent algorithms. The results showed that the proposed models reduced the running time and the portfolio delivered a robust performance compared to each constituent algorithm. It is observed that the speedup gained over the sequential counterpart changed significantly depending on the structure of the portfolio. The portfolio is also applied to a training of neural networks which has been used for time series prediction. Result demonstrate that, portfolio is able to produce good prediction accuracy. |
| Author | Yao, Xin Akay, Rustu Basturk, Alper Kalinli, Adem |
| Author_xml | – sequence: 1 givenname: Rustu orcidid: 0000-0002-3585-3332 surname: Akay fullname: Akay, Rustu email: akay@erciyes.edu.tr organization: Department of Mechatronics Engineering, Erciyes University, Kayseri, Turkey – sequence: 2 givenname: Alper surname: Basturk fullname: Basturk, Alper organization: Department of Computer Engineering, Erciyes University, Kayseri, Turkey – sequence: 3 givenname: Adem surname: Kalinli fullname: Kalinli, Adem organization: Department of Computer Engineering, Erciyes University, Kayseri, Turkey – sequence: 4 givenname: Xin surname: Yao fullname: Yao, Xin organization: School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK |
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| CitedBy_id | crossref_primary_10_1016_j_knosys_2024_111628 crossref_primary_10_1016_j_patcog_2019_107104 crossref_primary_10_1016_j_swevo_2018_08_015 crossref_primary_10_1109_MCI_2020_2976182 crossref_primary_10_1007_s12293_022_00367_8 crossref_primary_10_1016_j_swevo_2018_08_005 crossref_primary_10_1016_j_swevo_2018_07_001 crossref_primary_10_1080_10556788_2018_1484123 crossref_primary_10_1016_j_swevo_2017_12_002 crossref_primary_10_1109_TEVC_2022_3209544 |
| Cites_doi | 10.1016/j.ins.2014.01.002 10.1016/j.ins.2015.09.009 10.1007/s10472-007-9050-9 10.1007/978-3-642-34413-8_23 10.1016/j.neucom.2015.01.012 10.1145/2463372.2463435 10.1109/TEVC.2011.2166159 10.1109/TEVC.2008.924428 10.1016/j.neucom.2015.01.039 10.1007/s10462-012-9328-0 10.1007/978-3-642-04441-0_53 10.1016/S0004-3702(00)00081-3 10.1016/j.ins.2013.03.060 10.1016/j.ins.2008.10.016 10.1007/s10462-009-9124-7 10.1016/j.neucom.2015.05.042 10.1023/A:1008202821328 10.1007/s10898-007-9149-x 10.1007/s10472-010-9213-y 10.1016/j.asoc.2011.03.025 10.1016/j.neucom.2013.05.035 10.1016/j.ins.2013.11.032 10.1613/jair.614 10.1016/j.ins.2010.04.008 10.1109/TEVC.2010.2059031 10.1016/j.ins.2014.03.008 10.1126/science.267326 10.1109/4235.771163 10.1016/j.ins.2013.02.041 10.1007/11596448_36 10.1126/science.275.5296.51 10.1109/TEVC.2002.800880 10.1016/j.ins.2014.03.105 10.1007/978-3-540-69432-8_4 10.1109/TEVC.2009.2033582 10.3233/BME-151499 10.1109/TEVC.2010.2040183 10.1016/j.eswa.2008.01.061 |
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| References | Wu, Mallipeddi, Suganthan, Wang, Chen (bib0036) 2016; 329 Storn, Price (bib0024) 1997; 11 Box, Jenkins (bib0055) 1970 Zhao, Yang (bib0056) 2009; 36 Mackey, Glass (bib0054) 1977; 197 Alba (bib0053) 2005 Karaboga, Gorkemli, Ozturk, Karaboga (bib0012) 2014; 42 Ali, Awad (bib0019) 2014; 267 Adhikari (bib0049) 2015; 157 Vesterstrom, Thomsen (bib0026) 2004; 2 Karaboga (bib0006) 2005 Samulowitz, Reddy, Sabharwal, Sellmann (bib0021) 2013; vol. 7962 Chen, Xue, Hong, Cui, Zhao (bib0044) 2015; 26 Shi, Xi, Ma, Weng, Hu (bib0042) 2011; 11 Tang, Peng, Chen, Yao (bib0022) 2014; 279 Lacroix, Molina, Herrera (bib0020) 2014; 262 Fialho, Costa, Schoenauer, Sebag (bib0029) 2010; 60 Kennedy, Eberhart (bib0008) 1995 Yuen, Chow, Zhang (bib0016) 2013 Storn (bib0023) 1996 Gabriel, Fagg, Bosilca, Angskun, Dongarra, Squyres, Sahay, Kambadur, Barrett, Lumsdaine, Castain, Daniel, Graham, Woodall (bib0005) 2004 Tang, Zhang, Lin, Zhang (bib0045) 2011; vol. 15 Castro, Castillo, Melin, RodrÃguez-DÃaz (bib0046) 2009; 179 Gomes, Selman (bib0001) 1997 Gomes, Selman (bib0004) 2001; 126 Tang, Li, Suganthan, Weise (bib0052) 2009 Graff, Escalante, Cerda-Jacobo, Gonzalez (bib0043) 2013; 122 Price, Storn, Lampinen (bib0007) 2005 Karaboga, Basturk (bib0050) 2007; 39 B. Akay, D. Karaboga, Parameter tuning for the artificial bee colony algorithm, in: Proceedings of the 1st International Conference on Computational Collective Intelligence Semantic Web Social Networks Multiagent Systems 5796608–619. Yao, Liu, Lin (bib0018) 1999; 3 Piotrowski (bib0034) 2013; 241 Zhao, Yu (bib0047) 2015; 157 Das, Suganthan (bib0011) 2011; 15 Zhao, Suganthan, Zhang (bib0037) 2012; 16 Opitz, Maclin (bib0030) 1999; 11 Muñoz, Kirley, Halgamuge (bib0017) 2013 Shang, Wang, Wang, Jiao, Wang, Qi (bib0038) 2014; 277 Yun, Epstein (bib0040) 2012 Zhou, Sun (bib0035) 2015; 3801 Karaboga, Akay (bib0010) 2009; 31 Rokach (bib0031) 2010; 33 Peng, Tang, Chen, Yao (bib0014) 2010; 14 Petrik, Zilberstein (bib0039) 2006; 48 Vrugt, Robinson, Hyman (bib0015) 2009; 13 Alba, Tomassini (bib0051) 2002; 6 Fukunaga (bib0003) 2000 Boussaid, Lepagnot, Siarry (bib0013) 2013; 237 Gämperle, Müller, Koumoutsakos (bib0025) 2002 Yu, Suganthan (bib0032) 2010; 180 Mallipeddi, Suganthan (bib0033) 2010; 14 Poli (bib0009) 2007 Thierens (bib0028) 2007; 54 Xu, Hutter, Hoos, Leyton-Brown (bib0041) 2007 Huberman, Lukose, Hogg (bib0002) 1997; 275 Zhang, Ji, Liao, Zhang (bib0048) 2015; 168 Peng (10.1016/j.neucom.2017.03.061_bib0014) 2010; 14 Zhao (10.1016/j.neucom.2017.03.061_bib0037) 2012; 16 Mackey (10.1016/j.neucom.2017.03.061_bib0054) 1977; 197 Karaboga (10.1016/j.neucom.2017.03.061_bib0006) 2005 Gabriel (10.1016/j.neucom.2017.03.061_bib0005) 2004 Zhou (10.1016/j.neucom.2017.03.061_bib0035) 2015; 3801 Zhao (10.1016/j.neucom.2017.03.061_bib0056) 2009; 36 Gomes (10.1016/j.neucom.2017.03.061_bib0001) 1997 Tang (10.1016/j.neucom.2017.03.061_bib0045) 2011; vol. 15 Das (10.1016/j.neucom.2017.03.061_bib0011) 2011; 15 Alba (10.1016/j.neucom.2017.03.061_bib0053) 2005 Piotrowski (10.1016/j.neucom.2017.03.061_bib0034) 2013; 241 Tang (10.1016/j.neucom.2017.03.061_sbref0050) 2009 Storn (10.1016/j.neucom.2017.03.061_bib0023) 1996 Chen (10.1016/j.neucom.2017.03.061_bib0044) 2015; 26 Ali (10.1016/j.neucom.2017.03.061_bib0019) 2014; 267 Yao (10.1016/j.neucom.2017.03.061_bib0018) 1999; 3 Yun (10.1016/j.neucom.2017.03.061_bib0040) 2012 Karaboga (10.1016/j.neucom.2017.03.061_sbref0010) 2009; 31 Thierens (10.1016/j.neucom.2017.03.061_bib0028) 2007; 54 Huberman (10.1016/j.neucom.2017.03.061_bib0002) 1997; 275 Opitz (10.1016/j.neucom.2017.03.061_bib0030) 1999; 11 Muñoz (10.1016/j.neucom.2017.03.061_bib0017) 2013 Fukunaga (10.1016/j.neucom.2017.03.061_bib0003) 2000 Boussaid (10.1016/j.neucom.2017.03.061_bib0013) 2013; 237 Adhikari (10.1016/j.neucom.2017.03.061_bib0049) 2015; 157 Fialho (10.1016/j.neucom.2017.03.061_bib0029) 2010; 60 Box (10.1016/j.neucom.2017.03.061_bib0055) 1970 Storn (10.1016/j.neucom.2017.03.061_bib0024) 1997; 11 10.1016/j.neucom.2017.03.061_bib0027 Zhang (10.1016/j.neucom.2017.03.061_bib0048) 2015; 168 Karaboga (10.1016/j.neucom.2017.03.061_bib0012) 2014; 42 Gämperle (10.1016/j.neucom.2017.03.061_bib0025) 2002 Graff (10.1016/j.neucom.2017.03.061_bib0043) 2013; 122 Poli (10.1016/j.neucom.2017.03.061_bib0009) 2007 Alba (10.1016/j.neucom.2017.03.061_bib0051) 2002; 6 Rokach (10.1016/j.neucom.2017.03.061_bib0031) 2010; 33 Shi (10.1016/j.neucom.2017.03.061_bib0042) 2011; 11 Gomes (10.1016/j.neucom.2017.03.061_bib0004) 2001; 126 Yuen (10.1016/j.neucom.2017.03.061_bib0016) 2013 Mallipeddi (10.1016/j.neucom.2017.03.061_bib0033) 2010; 14 Kennedy (10.1016/j.neucom.2017.03.061_bib0008) 1995 Tang (10.1016/j.neucom.2017.03.061_bib0022) 2014; 279 Petrik (10.1016/j.neucom.2017.03.061_bib0039) 2006; 48 Lacroix (10.1016/j.neucom.2017.03.061_bib0020) 2014; 262 Vesterstrom (10.1016/j.neucom.2017.03.061_bib0026) 2004; 2 Karaboga (10.1016/j.neucom.2017.03.061_bib0050) 2007; 39 Xu (10.1016/j.neucom.2017.03.061_bib0041) 2007 Samulowitz (10.1016/j.neucom.2017.03.061_bib0021) 2013; vol. 7962 Price (10.1016/j.neucom.2017.03.061_bib0007) 2005 Yu (10.1016/j.neucom.2017.03.061_bib0032) 2010; 180 Zhao (10.1016/j.neucom.2017.03.061_bib0047) 2015; 157 Vrugt (10.1016/j.neucom.2017.03.061_bib0015) 2009; 13 Castro (10.1016/j.neucom.2017.03.061_bib0046) 2009; 179 Shang (10.1016/j.neucom.2017.03.061_bib0038) 2014; 277 Wu (10.1016/j.neucom.2017.03.061_bib0036) 2016; 329 |
| References_xml | – volume: 197 start-page: 287 year: 1977 end-page: 289 ident: bib0054 article-title: Oscillation and chaos in physiological control systems publication-title: Science – volume: 2 start-page: 1980 year: 2004 end-page: 1987 ident: bib0026 article-title: A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems publication-title: Proceedings of the Congress on Evolutionary Computation, 2004. CEC2004 – volume: 168 start-page: 823 year: 2015 end-page: 828 ident: bib0048 article-title: A novel extreme learning machine using privileged information publication-title: Neurocomputing – volume: 3 start-page: 82 year: 1999 end-page: 102 ident: bib0018 article-title: Evolutionary programming made faster publication-title: IEEE Trans. Evoluti. Comput. – volume: 262 start-page: 15 year: 2014 end-page: 31 ident: bib0020 article-title: Region based memetic algorithm for real parameter optimization publication-title: Inform. Sci. – volume: 3801 start-page: 255 year: 2015 end-page: 260 ident: bib0035 article-title: Using ensemble method to improve the performance of genetic algorithm publication-title: Comput. Intel. Secur. – volume: 329 start-page: 329 year: 2016 end-page: 345 ident: bib0036 article-title: Differential evolution with multi-population based ensemble of mutation strategies publication-title: Inform. Sci. – volume: 31 year: 2009 ident: bib0010 article-title: A survey: Algorithms simulating bee swarm intelligence publication-title: Artif. Intel. Rev. – volume: 14 start-page: 561 year: 2010 end-page: 579 ident: bib0033 article-title: Ensemble of constraint handling techniques publication-title: IEEE Trans. Evolut. Comput. – start-page: 567 year: 2013 end-page: 574 ident: bib0016 article-title: Which algorithm should i choose at any point of the search: an evolutionary portfolio approach publication-title: Proceedings of the 15th annual conference on Genetic and evolutionary computation – year: 2009 ident: bib0052 article-title: Benchmark Functions for the CEC’2010 Special session and Competition on Large Scale global Optimization publication-title: Technical Report – volume: 14 start-page: 782 year: 2010 end-page: 800 ident: bib0014 article-title: Population-based algorithm portfolios for numerical optimization publication-title: IEEE Trans. Evolut. Comput. – volume: 36 start-page: 2805 year: 2009 end-page: 2812 ident: bib0056 article-title: Pso-based single multiplicative neuron model for time series prediction publication-title: Expert Syst. Appl. – start-page: 293 year: 2002 end-page: 298 ident: bib0025 article-title: A Parameter Study for Differential Evolution publication-title: Proceedings of the WSEAS International Conference on Advances in Intelligent Systems, Fuzzy Systems, Evolutionary Computation – start-page: 97 year: 2004 end-page: 104 ident: bib0005 article-title: Open MPI: Goals, concept, and design of a next generation MPI implementation publication-title: Proceedings of the 11th European PVM/MPI Users’ Group Meeting Proceedings, Budapest, Hungary – start-page: 1942 year: 1995 end-page: 1948 ident: bib0008 article-title: Particle swarm optimization publication-title: Proceedings of the IEEE International Conference on Neural Networks, WA, Australia – volume: 6 start-page: 443 year: 2002 end-page: 462 ident: bib0051 article-title: Parallelism and evolutionary algorithms publication-title: IEEE Trans. Evolut. Comput. – volume: vol. 15 start-page: 3678 year: 2011 end-page: 3683 ident: bib0045 article-title: A hybrid algorithm for flexible job-shop scheduling problem publication-title: Procedia Engineering – volume: 39 start-page: 459â year: 2007 end-page: 471 ident: bib0050 article-title: A powerful and efficient algorithm for numerical function optimization: Artificial bee colony (abc) algorithm publication-title: J. Global Optim. – year: 2005 ident: bib0007 article-title: Differential Evolution: A Practical Approach to Global Optimization – volume: 60 start-page: 25 year: 2010 end-page: 64 ident: bib0029 article-title: Analyzing bandit-based adaptive operator selection mechanisms publication-title: Annals Math. Artif. Intel. – start-page: 75 year: 2013 end-page: 89 ident: bib0017 article-title: The Algorithm Selection Problem on the Continuous Optimization Domain publication-title: Computational Intelligence in Intelligent Data Analysis – start-page: 323 year: 2012 end-page: 338 ident: bib0040 article-title: Learning algorithm portfolios for parallel execution publication-title: Learn. Intel. Optim. – volume: 279 start-page: 94 year: 2014 end-page: 104 ident: bib0022 article-title: Population-based algorithm portfolios with automated constituent algorithms selection publication-title: Inform. Sci. – start-page: 712 year: 2007 end-page: 727 ident: bib0041 article-title: The design and analysis of an algorithm portfolio for SAT publication-title: Principles and Practice of Constraint Programming – volume: 157 start-page: 41 year: 2015 end-page: 45 ident: bib0047 article-title: Adaptive natural gradient learning algorithms for mackeyglass chaotic time prediction publication-title: Neurocomputing – year: 2007 ident: bib0009 article-title: An Analysis of Publications on Particle Swarm Optimisation Applications publication-title: Technical Report CSM-469 – volume: vol. 7962 start-page: 422 year: 2013 end-page: 428 ident: bib0021 article-title: Snappy: a simple algorithm portfolio. publication-title: Theory and Applications of Satisfiability Testing – volume: 54 start-page: 77 year: 2007 end-page: 90 ident: bib0028 article-title: Adaptive strategies for operator allocation publication-title: Studies Comput. Intel. – volume: 275 start-page: 51 year: 1997 end-page: 54 ident: bib0002 article-title: An economics approach to hard computational problems publication-title: Science – volume: 15 start-page: 4 year: 2011 end-page: 31 ident: bib0011 article-title: Differential evolution: A survey of the state-of-the-art publication-title: IEEE Trans. Evolut. Comput. – volume: 277 start-page: 609 year: 2014 end-page: 642 ident: bib0038 article-title: A multi-population cooperative coevolutionary algorithm for multi-objective capacitated arc routing problem publication-title: Inform. Sci. – volume: 179 start-page: 2175 year: 2009 end-page: 2193 ident: bib0046 article-title: A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks publication-title: Inform. Sci. – volume: 16 start-page: 442 year: 2012 end-page: 446 ident: bib0037 article-title: Decomposition-based multiobjective evolutionary algorithm with an ensemble of neighborhood sizes publication-title: IEEE Trans. Evolut. Comput. – volume: 11 start-page: 169 year: 1999 end-page: 198 ident: bib0030 article-title: Popular Ensemble Methods: An Empirical Study publication-title: J. Artif. Intel. Res. – volume: 26 start-page: 1961 year: 2015 end-page: 1968 ident: bib0044 article-title: A hybrid ensemble method based on double disturbance for classifying microarray data publication-title: Bio-Med. Mater. Eng. – volume: 42 start-page: 21 year: 2014 end-page: 57 ident: bib0012 article-title: A comprehensive survey: Artificial bee colony (abc) algorithm and applications publication-title: Artif. Intel. Rev. – volume: 11 start-page: 5674 year: 2011 end-page: 5683 ident: bib0042 article-title: A novel ensemble algorithm for biomedical classification based on Ant Colony Optimization publication-title: Appl. Soft Comput. J. – volume: 241 start-page: 164 year: 2013 end-page: 194 ident: bib0034 article-title: Adaptive memetic differential evolution with global and local neighborhood-based mutation operators publication-title: Inform. Sci. – start-page: 190 year: 1997 end-page: 197 ident: bib0001 article-title: Algorithm portfolio design: Theory vs. practice publication-title: Proceedings of the UAI – volume: 13 start-page: 243 year: 2009 end-page: 259 ident: bib0015 article-title: Self-adaptive multimethod search for global optimization in real-parameter spaces publication-title: IEEE Trans. Evolut. Comput. – start-page: 16 year: 2000 end-page: 19 ident: bib0003 article-title: Genetic algorithm portfolios publication-title: Proceedings of the IEEE Congress on Evolutionary Computation La Jolla, CA – year: 2005 ident: bib0006 article-title: An Idea Based On Honey Bee Swarm For Numerical Optimization publication-title: Technical Report TR06 – start-page: 519 year: 1996 end-page: 523 ident: bib0023 article-title: On the usage of differential evolution for function optimization publication-title: Proceedings of North American Fuzzy Information Processing NAFIPS’96 – volume: 122 start-page: 375 year: 2013 end-page: 385 ident: bib0043 article-title: Models of performance of time series forecasters publication-title: Neurocomputing – volume: 33 start-page: 1 year: 2010 end-page: 39 ident: bib0031 article-title: Ensemble-based classifiers publication-title: Artif. Intel. Rev. – year: 1970 ident: bib0055 article-title: Time Series Analysis: Forecasting and Control – volume: 11 start-page: 341 year: 1997 end-page: 359 ident: bib0024 article-title: Differential evolution - A simple and efficient heuristic for global optimization over continuous spaces publication-title: J. Global Optim. – volume: 157 start-page: 231 year: 2015 end-page: 242 ident: bib0049 article-title: A neural network based linear ensemble framework for time series forecasting publication-title: Neurocomputing – volume: 267 start-page: 158 year: 2014 end-page: 190 ident: bib0019 article-title: A novel class of niche hybrid cultural algorithms for continuous engineering optimization publication-title: Inform. Sci. – volume: 237 start-page: 82 year: 2013 end-page: 117 ident: bib0013 article-title: A survey on optimization metaheuristics publication-title: Inform. Sci. – volume: 126 start-page: 43 year: 2001 end-page: 62 ident: bib0004 article-title: Algorithm portolios publication-title: Artif. Intel. – reference: B. Akay, D. Karaboga, Parameter tuning for the artificial bee colony algorithm, in: Proceedings of the 1st International Conference on Computational Collective Intelligence Semantic Web Social Networks Multiagent Systems 5796608–619. – volume: 180 start-page: 2815 year: 2010 end-page: 2833 ident: bib0032 article-title: Ensemble of niching algorithms publication-title: Inform. Sci. – year: 2005 ident: bib0053 article-title: Parallel Metaheuristics: A New Class of Algorithms – volume: 48 start-page: 85 year: 2006 end-page: 106 ident: bib0039 article-title: Learning parallel portfolios of algorithms publication-title: Annals Math. Artif. Intel. – year: 2007 ident: 10.1016/j.neucom.2017.03.061_bib0009 article-title: An Analysis of Publications on Particle Swarm Optimisation Applications – volume: vol. 7962 start-page: 422 year: 2013 ident: 10.1016/j.neucom.2017.03.061_bib0021 article-title: Snappy: a simple algorithm portfolio. – start-page: 293 year: 2002 ident: 10.1016/j.neucom.2017.03.061_bib0025 article-title: A Parameter Study for Differential Evolution – start-page: 1942 year: 1995 ident: 10.1016/j.neucom.2017.03.061_bib0008 article-title: Particle swarm optimization – volume: 267 start-page: 158 year: 2014 ident: 10.1016/j.neucom.2017.03.061_bib0019 article-title: A novel class of niche hybrid cultural algorithms for continuous engineering optimization publication-title: Inform. Sci. doi: 10.1016/j.ins.2014.01.002 – volume: 329 start-page: 329 year: 2016 ident: 10.1016/j.neucom.2017.03.061_bib0036 article-title: Differential evolution with multi-population based ensemble of mutation strategies publication-title: Inform. Sci. doi: 10.1016/j.ins.2015.09.009 – volume: 48 start-page: 85 issue: 1–2 year: 2006 ident: 10.1016/j.neucom.2017.03.061_bib0039 article-title: Learning parallel portfolios of algorithms publication-title: Annals Math. Artif. Intel. doi: 10.1007/s10472-007-9050-9 – start-page: 323 year: 2012 ident: 10.1016/j.neucom.2017.03.061_bib0040 article-title: Learning algorithm portfolios for parallel execution publication-title: Learn. Intel. Optim. doi: 10.1007/978-3-642-34413-8_23 – volume: 157 start-page: 231 year: 2015 ident: 10.1016/j.neucom.2017.03.061_bib0049 article-title: A neural network based linear ensemble framework for time series forecasting publication-title: Neurocomputing doi: 10.1016/j.neucom.2015.01.012 – start-page: 567 year: 2013 ident: 10.1016/j.neucom.2017.03.061_bib0016 article-title: Which algorithm should i choose at any point of the search: an evolutionary portfolio approach publication-title: Proceedings of the 15th annual conference on Genetic and evolutionary computation doi: 10.1145/2463372.2463435 – volume: 16 start-page: 442 issue: 3 year: 2012 ident: 10.1016/j.neucom.2017.03.061_bib0037 article-title: Decomposition-based multiobjective evolutionary algorithm with an ensemble of neighborhood sizes publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2011.2166159 – year: 2005 ident: 10.1016/j.neucom.2017.03.061_bib0007 – volume: 13 start-page: 243 issue: 2 year: 2009 ident: 10.1016/j.neucom.2017.03.061_bib0015 article-title: Self-adaptive multimethod search for global optimization in real-parameter spaces publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2008.924428 – volume: 157 start-page: 41 year: 2015 ident: 10.1016/j.neucom.2017.03.061_bib0047 article-title: Adaptive natural gradient learning algorithms for mackeyglass chaotic time prediction publication-title: Neurocomputing doi: 10.1016/j.neucom.2015.01.039 – volume: 42 start-page: 21 year: 2014 ident: 10.1016/j.neucom.2017.03.061_bib0012 article-title: A comprehensive survey: Artificial bee colony (abc) algorithm and applications publication-title: Artif. Intel. Rev. doi: 10.1007/s10462-012-9328-0 – ident: 10.1016/j.neucom.2017.03.061_bib0027 doi: 10.1007/978-3-642-04441-0_53 – volume: 126 start-page: 43 issue: 1–2 year: 2001 ident: 10.1016/j.neucom.2017.03.061_bib0004 article-title: Algorithm portolios publication-title: Artif. Intel. doi: 10.1016/S0004-3702(00)00081-3 – year: 1970 ident: 10.1016/j.neucom.2017.03.061_bib0055 – volume: 241 start-page: 164 year: 2013 ident: 10.1016/j.neucom.2017.03.061_bib0034 article-title: Adaptive memetic differential evolution with global and local neighborhood-based mutation operators publication-title: Inform. Sci. doi: 10.1016/j.ins.2013.03.060 – volume: 179 start-page: 2175 issue: 13 year: 2009 ident: 10.1016/j.neucom.2017.03.061_bib0046 article-title: A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks publication-title: Inform. Sci. doi: 10.1016/j.ins.2008.10.016 – start-page: 97 year: 2004 ident: 10.1016/j.neucom.2017.03.061_bib0005 article-title: Open MPI: Goals, concept, and design of a next generation MPI implementation – year: 2005 ident: 10.1016/j.neucom.2017.03.061_bib0006 article-title: An Idea Based On Honey Bee Swarm For Numerical Optimization – volume: 33 start-page: 1 issue: 1–2 year: 2010 ident: 10.1016/j.neucom.2017.03.061_bib0031 article-title: Ensemble-based classifiers publication-title: Artif. Intel. Rev. doi: 10.1007/s10462-009-9124-7 – volume: 168 start-page: 823 year: 2015 ident: 10.1016/j.neucom.2017.03.061_bib0048 article-title: A novel extreme learning machine using privileged information publication-title: Neurocomputing doi: 10.1016/j.neucom.2015.05.042 – volume: 11 start-page: 341 issue: 4 year: 1997 ident: 10.1016/j.neucom.2017.03.061_bib0024 article-title: Differential evolution - A simple and efficient heuristic for global optimization over continuous spaces publication-title: J. Global Optim. doi: 10.1023/A:1008202821328 – volume: 39 start-page: 459â year: 2007 ident: 10.1016/j.neucom.2017.03.061_bib0050 article-title: A powerful and efficient algorithm for numerical function optimization: Artificial bee colony (abc) algorithm publication-title: J. Global Optim. doi: 10.1007/s10898-007-9149-x – volume: 60 start-page: 25 issue: 1 year: 2010 ident: 10.1016/j.neucom.2017.03.061_bib0029 article-title: Analyzing bandit-based adaptive operator selection mechanisms publication-title: Annals Math. Artif. Intel. doi: 10.1007/s10472-010-9213-y – volume: 11 start-page: 5674 issue: 8 year: 2011 ident: 10.1016/j.neucom.2017.03.061_bib0042 article-title: A novel ensemble algorithm for biomedical classification based on Ant Colony Optimization publication-title: Appl. Soft Comput. J. doi: 10.1016/j.asoc.2011.03.025 – volume: 122 start-page: 375 year: 2013 ident: 10.1016/j.neucom.2017.03.061_bib0043 article-title: Models of performance of time series forecasters publication-title: Neurocomputing doi: 10.1016/j.neucom.2013.05.035 – volume: 31 issue: 1 year: 2009 ident: 10.1016/j.neucom.2017.03.061_sbref0010 article-title: A survey: Algorithms simulating bee swarm intelligence publication-title: Artif. Intel. Rev. – volume: 262 start-page: 15 year: 2014 ident: 10.1016/j.neucom.2017.03.061_bib0020 article-title: Region based memetic algorithm for real parameter optimization publication-title: Inform. Sci. doi: 10.1016/j.ins.2013.11.032 – volume: 11 start-page: 169 year: 1999 ident: 10.1016/j.neucom.2017.03.061_bib0030 article-title: Popular Ensemble Methods: An Empirical Study publication-title: J. Artif. Intel. Res. doi: 10.1613/jair.614 – year: 2009 ident: 10.1016/j.neucom.2017.03.061_sbref0050 article-title: Benchmark Functions for the CEC’2010 Special session and Competition on Large Scale global Optimization – volume: 180 start-page: 2815 year: 2010 ident: 10.1016/j.neucom.2017.03.061_bib0032 article-title: Ensemble of niching algorithms publication-title: Inform. Sci. doi: 10.1016/j.ins.2010.04.008 – volume: 15 start-page: 4 issue: 1 year: 2011 ident: 10.1016/j.neucom.2017.03.061_bib0011 article-title: Differential evolution: A survey of the state-of-the-art publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2010.2059031 – volume: 277 start-page: 609 year: 2014 ident: 10.1016/j.neucom.2017.03.061_bib0038 article-title: A multi-population cooperative coevolutionary algorithm for multi-objective capacitated arc routing problem publication-title: Inform. Sci. doi: 10.1016/j.ins.2014.03.008 – start-page: 190 year: 1997 ident: 10.1016/j.neucom.2017.03.061_bib0001 article-title: Algorithm portfolio design: Theory vs. practice – year: 2005 ident: 10.1016/j.neucom.2017.03.061_bib0053 – volume: 197 start-page: 287 year: 1977 ident: 10.1016/j.neucom.2017.03.061_bib0054 article-title: Oscillation and chaos in physiological control systems publication-title: Science doi: 10.1126/science.267326 – volume: 3 start-page: 82 issue: 2 year: 1999 ident: 10.1016/j.neucom.2017.03.061_bib0018 article-title: Evolutionary programming made faster publication-title: IEEE Trans. Evoluti. Comput. doi: 10.1109/4235.771163 – volume: 237 start-page: 82 year: 2013 ident: 10.1016/j.neucom.2017.03.061_bib0013 article-title: A survey on optimization metaheuristics publication-title: Inform. Sci. doi: 10.1016/j.ins.2013.02.041 – volume: 3801 start-page: 255 year: 2015 ident: 10.1016/j.neucom.2017.03.061_bib0035 article-title: Using ensemble method to improve the performance of genetic algorithm publication-title: Comput. Intel. Secur. doi: 10.1007/11596448_36 – volume: 2 start-page: 1980 year: 2004 ident: 10.1016/j.neucom.2017.03.061_bib0026 article-title: A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems – start-page: 712 year: 2007 ident: 10.1016/j.neucom.2017.03.061_bib0041 article-title: The design and analysis of an algorithm portfolio for SAT – start-page: 16 year: 2000 ident: 10.1016/j.neucom.2017.03.061_bib0003 article-title: Genetic algorithm portfolios – volume: 275 start-page: 51 year: 1997 ident: 10.1016/j.neucom.2017.03.061_bib0002 article-title: An economics approach to hard computational problems publication-title: Science doi: 10.1126/science.275.5296.51 – volume: 6 start-page: 443 year: 2002 ident: 10.1016/j.neucom.2017.03.061_bib0051 article-title: Parallelism and evolutionary algorithms publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2002.800880 – volume: 279 start-page: 94 year: 2014 ident: 10.1016/j.neucom.2017.03.061_bib0022 article-title: Population-based algorithm portfolios with automated constituent algorithms selection publication-title: Inform. Sci. doi: 10.1016/j.ins.2014.03.105 – volume: 54 start-page: 77 year: 2007 ident: 10.1016/j.neucom.2017.03.061_bib0028 article-title: Adaptive strategies for operator allocation publication-title: Studies Comput. Intel. doi: 10.1007/978-3-540-69432-8_4 – volume: 14 start-page: 561 issue: 4 year: 2010 ident: 10.1016/j.neucom.2017.03.061_bib0033 article-title: Ensemble of constraint handling techniques publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2009.2033582 – start-page: 519 year: 1996 ident: 10.1016/j.neucom.2017.03.061_bib0023 article-title: On the usage of differential evolution for function optimization – volume: 26 start-page: 1961 year: 2015 ident: 10.1016/j.neucom.2017.03.061_bib0044 article-title: A hybrid ensemble method based on double disturbance for classifying microarray data publication-title: Bio-Med. Mater. Eng. doi: 10.3233/BME-151499 – volume: 14 start-page: 782 issue: 5 year: 2010 ident: 10.1016/j.neucom.2017.03.061_bib0014 article-title: Population-based algorithm portfolios for numerical optimization publication-title: IEEE Trans. Evolut. Comput. doi: 10.1109/TEVC.2010.2040183 – volume: 36 start-page: 2805 issue: 2 year: 2009 ident: 10.1016/j.neucom.2017.03.061_bib0056 article-title: Pso-based single multiplicative neuron model for time series prediction publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2008.01.061 – volume: vol. 15 start-page: 3678 year: 2011 ident: 10.1016/j.neucom.2017.03.061_bib0045 article-title: A hybrid algorithm for flexible job-shop scheduling problem – start-page: 75 year: 2013 ident: 10.1016/j.neucom.2017.03.061_bib0017 article-title: The Algorithm Selection Problem on the Continuous Optimization Domain |
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