default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPeter Korosec
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j32]Peter Korosec
, Tome Eftimov:
Opt2Vec - a continuous optimization problem representation based on the algorithm's behavior: A case study on problem classification. Inf. Sci. 680: 121134 (2024)- [c64]Peter Korosec, Tome Eftimov:
Per-Run Algorithm Performance Improvement Forecasting Using Exploratory Landscape Analysis Features: A Case Study in Single-Objective Black-Box Optimization. GECCO Companion 2024: 571-574 - [c63]Tome Eftimov, Peter Korosec:
Statistical Analyses for Single-objective Stochastic Optimization Algorithms. GECCO Companion 2024: 1313-1327 - 2023
- [c62]Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov:
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. AutoML 2023: 11/1-17 - [c61]Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov:
Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction. CEC 2023: 1-8 - [c60]Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov:
Assessing the Generalizability of a Performance Predictive Model. GECCO Companion 2023: 311-314 - [c59]Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov:
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. GECCO 2023: 529-537 - [c58]Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov:
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. GECCO 2023: 813-821 - [c57]Urban Skvorc, Tome Eftimov, Peter Korosec:
Analyzing the Generalizability of Automated Algorithm Selection: A Case Study for Numerical Optimization. SSCI 2023: 335-340 - [i13]Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov:
Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction. CoRR abs/2305.19375 (2023) - [i12]Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov:
Assessing the Generalizability of a Performance Predictive Model. CoRR abs/2306.00040 (2023) - [i11]Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov:
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. CoRR abs/2306.00479 (2023) - [i10]Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov:
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. CoRR abs/2306.05438 (2023) - [i9]Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov:
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. CoRR abs/2310.10685 (2023) - 2022
- [b1]Tome Eftimov, Peter Korosec:
Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms. Natural Computing Series, Springer 2022, ISBN 978-3-030-96916-5, pp. 1-124 - [j31]Gjorgjina Cenikj, Eva Valencic, Gordana Ispirova, Matevz Ogrinc, Riste Stojanov, Peter Korosec, Ermanno Cavalli, Barbara Korousic-Seljak, Tome Eftimov:
CafeteriaSA corpus: scientific abstracts annotated across different food semantic resources. Database J. Biol. Databases Curation 2022(2022) (2022) - [j30]Tome Eftimov, Gasper Petelin, Gjorgjina Cenikj, Ana Kostovska, Gordana Ispirova, Peter Korosec, Jasmin Bogatinovski:
Less is more: Selecting the right benchmarking set of data for time series classification. Expert Syst. Appl. 198: 116871 (2022) - [j29]Christian Blum, Tome Eftimov, Peter Korosec:
Preface. Nat. Comput. 21(2): 127-130 (2022) - [c56]Ana Nikolikj, Ryan Dieter Lang, Peter Korosec, Tome Eftimov:
Explaining Differential Evolution Performance Through Problem Landscape Characteristics. BIOMA 2022: 99-113 - [c55]Ana Nikolikj, Risto Trajanov, Gjorgjina Cenikj, Peter Korosec, Tome Eftimov:
Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction. CEC 2022: 1-8 - [c54]Urban Skvorc, Tome Eftimov, Peter Korosec:
A Comprehensive Analysis of the Invariance of Exploratory Landscape Analysis Features to Function Transformations. CEC 2022: 1-8 - [c53]Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov:
Explainable Landscape Analysis in Automated Algorithm Performance Prediction. EvoApplications 2022: 207-222 - [c52]Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov:
SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison. GECCO 2022: 620-629 - [c51]Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov:
The importance of landscape features for performance prediction of modular CMA-ES variants. GECCO 2022: 648-656 - [c50]Tome Eftimov, Peter Korosec:
Statistical analyses for multi-objective stochastic optimization algorithms: GECCO 2022 tutorial. GECCO Companion 2022: 1342-1356 - [d1]Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov:
Linking Problem Landscape Features with the Performance of Individual CMA-ES Modules - Data. Zenodo, 2022
- [i8]Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov:
Explainable Landscape Analysis in Automated Algorithm Performance Prediction. CoRR abs/2203.11828 (2022) - [i7]Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov:
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants. CoRR abs/2204.07431 (2022) - [i6]Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov:
SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison. CoRR abs/2204.11527 (2022) - 2021
- [j28]Christian Blum, Tome Eftimov, Peter Korosec:
Preface. Nat. Comput. 20(3): 341-344 (2021) - [j27]Tome Eftimov, Peter Korosec:
Deep Statistical Comparison for Multi-Objective Stochastic Optimization Algorithms. Swarm Evol. Comput. 61: 100837 (2021) - [c49]Urban Skvorc, Tome Eftimov, Peter Korosec:
The Effect of Sampling Methods on the Invariance to Function Transformations When Using Exploratory Landscape Analysis. CEC 2021: 1139-1146 - [c48]Tome Eftimov, Peter Korosec:
Robust benchmarking for multi-objective optimization. GECCO Companion 2021: 9-10 - [c47]Tome Eftimov, Peter Korosec:
Reducing bias in multi-objective optimization benchmarking. GECCO Companion 2021: 27-28 - [c46]Urban Skvorc, Tome Eftimov, Peter Korosec:
A complementarity analysis of the COCO benchmark problems and artificially generated problems. GECCO Companion 2021: 215-216 - [c45]Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec:
Personalizing performance regression models to black-box optimization problems. GECCO 2021: 669-677 - [c44]Tome Eftimov, Peter Korosec:
Statistical analyses for meta-heuristic stochastic optimization algorithms. GECCO Companion 2021: 770-785 - [c43]Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov:
Explainable Landscape-Aware Optimization Performance Prediction. SSCI 2021: 1-8 - [i5]Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec:
Personalizing Performance Regression Models to Black-Box Optimization Problems. CoRR abs/2104.10999 (2021) - [i4]Urban Skvorc, Tome Eftimov, Peter Korosec:
A Complementarity Analysis of the COCO Benchmark Problems and Artificially Generated Problems. CoRR abs/2104.13060 (2021) - [i3]Risto Trajanov, Stefan Dimeski, Martin Popovski, Peter Korosec, Tome Eftimov:
Explainable Landscape-Aware Optimization Performance Prediction. CoRR abs/2110.11633 (2021) - 2020
- [j26]Tome Eftimov, Gasper Petelin, Peter Korosec:
DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms. Appl. Soft Comput. 87: 105977 (2020) - [j25]Urban Skvorc, Tome Eftimov, Peter Korosec:
Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis. Appl. Soft Comput. 90: 106138 (2020) - [j24]Nouredine Melab, Jan Gmys, Peter Korosec, Imen Chakroun:
Synergy between parallel computing, optimization and simulation. J. Comput. Sci. 44: 101168 (2020) - [c42]Tome Eftimov, Gasper Petelin, Rok Hribar, Gorjan Popovski, Urban Skvorc, Peter Korosec:
Deep statistics: more robust performance statistics for single-objective optimization benchmarking. GECCO Companion 2020: 5-6 - [c41]Tome Eftimov, Rok Hribar, Urban Skvorc, Gorjan Popovski, Gasper Petelin, Peter Korosec:
PerformViz: a machine learning approach to visualize and understand the performance of single-objective optimization algorithms. GECCO Companion 2020: 7-8 - [c40]Tome Eftimov, Peter Korosec:
Is the statistical significance between stochastic optimization algorithms' performances also significant in practice? GECCO Companion 2020: 19-20 - [c39]Urban Skvorc, Tome Eftimov, Peter Korosec:
Using exploratory landscape analysis to visualize single-objective problems. GECCO Companion 2020: 27-28 - [c38]Tome Eftimov, Gorjan Popovski, Dragi Kocev, Peter Korosec:
Performance2vec: a step further in explainable stochastic optimization algorithm performance. GECCO Companion 2020: 193-194 - [c37]Tome Eftimov, Peter Korosec:
Statistical analyses for meta-heuristic stochastic optimization algorithms: GECCO 2020 tutorial. GECCO Companion 2020: 724-746 - [c36]Eva Tuba, Peter Korosec, Tome Eftimov:
In-Depth Insights into Swarm Intelligence Algorithms Performance. MDIS 2020: 334-346 - [c35]Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr:
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. SSCI 2020: 775-782 - [e2]Thomas Bartz-Beielstein, Bogdan Filipic, Peter Korosec, El-Ghazali Talbi:
High-Performance Simulation-Based Optimization. Studies in Computational Intelligence 833, Springer 2020, ISBN 978-3-030-18763-7 [contents] - [i2]Tome Eftimov, Gorjan Popovski, Quentin Renau, Peter Korosec, Carola Doerr:
Linear Matrix Factorization Embeddings for Single-objective Optimization Landscapes. CoRR abs/2009.14506 (2020)
2010 – 2019
- 2019
- [j23]Tome Eftimov, Peter Korosec:
Identifying practical significance through statistical comparison of meta-heuristic stochastic optimization algorithms. Appl. Soft Comput. 85 (2019) - [j22]Tome Eftimov, Peter Korosec:
A novel statistical approach for comparing meta-heuristic stochastic optimization algorithms according to the distribution of solutions in the search space. Inf. Sci. 489: 255-273 (2019) - [c34]Urban Skvorc, Tome Eftimov, Peter Korosec:
CEC Real-Parameter Optimization Competitions: Progress from 2013 to 2018. CEC 2019: 3126-3133 - [c33]Tome Eftimov, Peter Korosec:
Understanding exploration and exploitation powers of meta-heuristic stochastic optimization algorithms through statistical analysis. GECCO (Companion) 2019: 21-22 - [c32]Urban Skvorc, Tome Eftimov, Peter Korosec:
GECCO black-box optimization competitions: progress from 2009 to 2018. GECCO (Companion) 2019: 275-276 - 2018
- [c31]Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak:
Data-Driven Preference-Based Deep Statistical Ranking for Comparing Multi-objective Optimization Algorithms. BIOMA 2018: 138-150 - [c30]Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak:
Deep statistical comparison of meta-heuristic stochastic optimization algorithms. GECCO (Companion) 2018: 15-16 - [c29]Tome Eftimov, Peter Korosec:
The impact of statistics for benchmarking in evolutionary computation research. GECCO (Companion) 2018: 1329-1336 - [c28]Tome Eftimov, Gordana Ispirova, Paul Finglas, Peter Korosec, Barbara Korousic-Seljak:
Quisper Ontology Learning from Personalized Dietary Web Services. KEOD 2018: 277-284 - [c27]Tome Eftimov, Gordana Ispirova, Peter Korosec, Barbara Korousic-Seljak:
The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems. KDIR 2018: 313-320 - [e1]Peter Korosec, Nouredine Melab, El-Ghazali Talbi:
Bioinspired Optimization Methods and Their Applications - 8th International Conference, BIOMA 2018, Paris, France, May 16-18, 2018, Proceedings. Lecture Notes in Computer Science 10835, Springer 2018, ISBN 978-3-319-91640-8 [contents] - 2017
- [j21]Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak:
A Novel Approach to statistical comparison of meta-heuristic stochastic optimization algorithms using deep statistics. Inf. Sci. 417: 186-215 (2017) - [c26]Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak, Peter Korosec:
Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology. KEOD 2017: 203-210 - [c25]Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak:
The Behavior of Deep Statistical Comparison Approach for Different Criteria of Comparing Distributions. IJCCI 2017: 73-82 - [c24]Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak:
Deep Statistical Comparison Applied on Quality Indicators to Compare Multi-objective Stochastic Optimization Algorithms. MOD 2017: 76-87 - [c23]Tome Eftimov, Peter Korosec, Barbara Korousic-Seljak:
Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach. SSCI 2017: 1-8 - 2016
- [c22]Tome Eftimov, Barbara Korousic-Seljak, Peter Korosec:
Grammar and Dictionary based Named-entity Linking for Knowledge Extraction of Evidence-based Dietary Recommendations. KDIR 2016: 150-157 - 2015
- [j20]Jurij Silc, Katerina Taskova, Peter Korosec:
Data Mining-Assisted Parameter Tuning of a Search Algorithm. Informatica (Slovenia) 39(2) (2015) - 2014
- [j19]Lucas Benedicic, Mitja Stular, Peter Korosec:
A GPU-Based Parallel-Agent Optimization Approach for the Service Coverage Problem in UMTS Networks. Comput. Informatics 33(5): 1025-1046 (2014) - [j18]Lucas Benedicic, Felipe A. Cruz, Tsuyoshi Hamada, Peter Korosec:
A GRASS GIS parallel module for radio-propagation predictions. Int. J. Geogr. Inf. Sci. 28(4): 799-823 (2014) - [j17]Lucas Benedièiè, Marko Pesko, Tomaz Javornik, Peter Korosec:
A Metaheuristic Approach for Propagation-Model Tuning in LTE Networks. Informatica (Slovenia) 38(2) (2014) - [i1]Lucas Benedicic, Felipe A. Cruz, Tsuyoshi Hamada, Peter Korosec:
A GRASS GIS parallel module for radio-propagation predictions. CoRR abs/1402.4010 (2014) - 2013
- [j16]Peter Korosec, Jurij Silc:
The continuous differential ant-stigmergy algorithm for numerical optimization. Comput. Optim. Appl. 56(2): 481-502 (2013) - [j15]Peter Korosec, Uros Bole, Gregor Papa:
A multi-objective approach to the application of real-world production scheduling. Expert Syst. Appl. 40(15): 5839-5853 (2013) - [j14]Janez Brest, Peter Korosec, Jurij Silc, Ales Zamuda, Borko Boskovic, Mirjam Sepesy Maucec:
Differential evolution and differential ant-stigmergy on dynamic optimisation problems. Int. J. Syst. Sci. 44(4): 663-679 (2013) - [j13]Peter Korosec, Marián Vajtersic, Jurij Silc, Rade Kutil:
Multi-core implementation of the differential ant-stigmergy algorithm for numerical optimization. J. Supercomput. 63(3): 757-772 (2013) - [c21]Peter Korosec, Jurij Silc:
The Continuous Differential Ant-Stigmergy Algorithm applied on real-parameter single objective optimization problems. IEEE Congress on Evolutionary Computation 2013: 1658-1663 - 2012
- [j12]Gregor Papa, Vida Vukasinovic, Peter Korosec:
Guided restarting local search for production planning. Eng. Appl. Artif. Intell. 25(2): 242-253 (2012) - [j11]Peter Korosec, Jurij Silc, Bogdan Filipic:
The differential ant-stigmergy algorithm. Inf. Sci. 192: 82-97 (2012) - [c20]Lucas Benedicic, Mitja Stular, Peter Korosec:
Balancing downlink and uplink soft-handover areas in UMTS networks. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c19]Peter Korosec, Jurij Silc:
The continuous differential Ant-Stigmergy Algorithm applied to dynamic optimization problems. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [j10]Katerina Tashkova, Peter Korosec, Jurij Silc, Ljupco Todorovski, Saso Dzeroski:
Parameter estimation with bio-inspired meta-heuristic optimization: modeling the dynamics of endocytosis. BMC Syst. Biol. 5: 159 (2011) - [j9]Katerina Tashkova, Peter Korosec, Jurij Silc:
A distributed multilevel ant-colony algorithm for the multi-way graph partitioning. Int. J. Bio Inspired Comput. 3(5): 286-296 (2011) - [c18]Peter Korosec, Jurij Silc:
The Continuous Differential Ant-Stigmergy Algorithm applied to real-world optimization problems. IEEE Congress on Evolutionary Computation 2011: 1327-1334 - [c17]Peter Korosec, Jurij Silc, Marián Vajtersic, Rade Kutil:
A Shared-Memory ACO-Based Algorithm for Numerical Optimization. IPDPS Workshops 2011: 352-357 - 2010
- [c16]Peter Korosec, Katerina Tashkova, Jurij Silc:
The differential Ant-Stigmergy Algorithm for large-scale global optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c15]Vida Vukasinovic, Peter Korosec, Gregor Papa:
Hybrid Parameter-less Evolutionary Algorithm in Production Planning. IJCCI (ICEC) 2010: 231-236
2000 – 2009
- 2009
- [j8]Peter Korosec, Jurij Silc:
High-dimensional real-parameter optimization using the differential ant-stigmergy algorithm. Int. J. Intell. Comput. Cybern. 2(1): 34-51 (2009) - [c14]Peter Korosec, Jurij Silc:
The Differential Ant-Stigmergy Algorithm applied to dynamic optimization problems. IEEE Congress on Evolutionary Computation 2009: 407-414 - [c13]Peter Korosec, Jurij Silc:
A Stigmergy-Based Algorithm for Continuous Optimization Tested on Real-Life-Like Environment. EvoWorkshops 2009: 675-684 - [c12]Peter Korosec, Jurij Silc:
A stigmergy-based algorithm for black-box optimization: noiseless function testbed. GECCO (Companion) 2009: 2295-2302 - [c11]Peter Korosec, Jurij Silc:
A stigmergy-based algorithm for black-box optimization: noisy function testbed. GECCO (Companion) 2009: 2375-2382 - [c10]Peter Korosec, Jurij Silc:
A distributed ant-based algorithm for numerical optimization. BADS@ICAC 2009: 37-44 - [c9]Katerina Tashkova, Peter Korosec, Jurij Silc:
A Distributed Multilevel Ant-Colony Approach for Finite Element Mesh Decomposition. PPAM (2) 2009: 398-407 - 2008
- [j7]Peter Korosec, Jurij Silc:
Using Stigmergy to Solve Numerical Optimization Problems. Comput. Informatics 27(3): 377-402 (2008) - [j6]Peter Korosec, Jurij Silc:
The distributed multilevel ant-stigmergy algorithm used at the electric-motor design. Eng. Appl. Artif. Intell. 21(6): 941-951 (2008) - [j5]Katerina Tashkova, Peter Korosec, Jurij Silc:
A Distributed Multilevel Ant Colonies Approach. Informatica (Slovenia) 32(3): 307-317 (2008) - [c8]Peter Korosec, Jurij Silc:
The Differential Ant-Stigmergy Algorithm for Large Scale Real-Parameter Optimization. ANTS Conference 2008: 413-414 - 2007
- [j4]Tea Tusar, Peter Korosec, Gregor Papa, Bogdan Filipic, Jurij Silc:
A comparative study of stochastic optimization methods in electric motor design. Appl. Intell. 27(2): 101-111 (2007) - [c7]Peter Korosec, Jurij Silc, Klemen Oblak, Franc Kosel:
The differential ant-stigmergy algorithm: an experimental evaluation and a real-world application. IEEE Congress on Evolutionary Computation 2007: 157-164 - [c6]Peter Korosec, Jurij Silc, Klemen Oblak, Franc Kosel:
Optimizing the Shape of an Impeller Using the Differential Ant-Stigmergy Algorithm. PPAM 2007: 520-529 - 2006
- [c5]Peter Korosec, Jurij Silc, Bogdan Filipic, Erkki Laitinen:
Ant stigmergy on the grid: optimizing the cooling process in continuous steel casting. IPDPS 2006 - 2005
- [c4]Jurij Silc, Peter Korosec:
The Distributed Stigmergic Algorithm for Multi-parameter Optimization. PPAM 2005: 92-99 - [r1]Jurij Silc, Peter Korosec, Borut Robic:
Ant Colonies and the Mesh-Partitioning Problem. Handbook of Bioinspired Algorithms and Applications 2005 - 2004
- [j3]Peter Korosec, Jurij Silc, Borut Robic:
Solving the mesh-partitioning problem with an ant-colony algorithm. Parallel Comput. 30(5-6): 785-801 (2004) - [j2]Peter Korosec, Jurij Silc, Borut Robic:
"Solving the mesh-partitioning problem with an ant-colony algorithm" [Parallel Computing 30 (2004) 785-801]. Parallel Comput. 30(8): 919-921 (2004) - [c3]Peter Korosec, Jurij Silc, Borut Robic:
Mesh-Partitioning with the Multiple Ant-Colony Algorithm. ANTS Workshop 2004: 430-432 - 2003
- [c2]Peter Korosec, Jurij Silc, Borut Robic:
Mesh Partitioning: A Multilevel Ant-Colony-Optimization Algorithm. IPDPS 2003: 146 - [c1]Jurij Silc, Peter Korosec, Borut Robic:
Combining Vector Quantization and Ant-Colony Algorithm for Mesh-Partitioning. PPAM 2003: 113-118 - 2002
- [j1]Peter Korosec, Jurij Silc, Borut Robic:
An Experimental Study of an Ant-colony Algorithm for the Mesh-partitioning Problem. Parallel Distributed Comput. Pract. 5(3) (2002)
Coauthor Index
[j32] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [i13] [i12] [i11] [i10] [i9] [b1] [j31] [j30] [j29] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [d1] [i8] [i7] [i6] [j28] [j27] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [i5] [i4] [i3] [j26] [j25] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [i2] [j23] [j22] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [j21] [c26] [c25] [c24] [c23] [c22]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 20:30 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
