BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

378 related articles for article (PubMed ID: 27689467)

  • 1. Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes.
    Daolio F; Liefooghe A; Verel S; Aguirre H; Tanaka K
    Evol Comput; 2017; 25(4):555-585. PubMed ID: 27689467
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Theoretical Analyses of Multiobjective Evolutionary Algorithms on Multimodal Objectives.
    Zheng W; Doerr B
    Evol Comput; 2023 Dec; 31(4):337-373. PubMed ID: 37023353
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Parameterized runtime analyses of evolutionary algorithms for the planar euclidean traveling salesperson problem.
    Sutton AM; Neumann F; Nallaperuma S
    Evol Comput; 2014; 22(4):595-628. PubMed ID: 24479542
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Hybridization of decomposition and local search for multiobjective optimization.
    Ke L; Zhang Q; Battiti R
    IEEE Trans Cybern; 2014 Oct; 44(10):1808-20. PubMed ID: 25222724
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Expected Fitness Gains of Randomized Search Heuristics for the Traveling Salesperson Problem.
    Nallaperuma S; Neumann F; Sudholt D
    Evol Comput; 2017; 25(4):673-705. PubMed ID: 27893278
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions.
    Ceberio J; Calvo B; Mendiburu A; Lozano JA
    Evol Comput; 2019; 27(2):291-311. PubMed ID: 29446983
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Performance Analysis of Evolutionary Algorithms for Steiner Tree Problems.
    Lai X; Zhou Y; Xia X; Zhang Q
    Evol Comput; 2017; 25(4):707-723. PubMed ID: 27959580
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An Orthogonal Evolutionary Algorithm With Learning Automata for Multiobjective Optimization.
    Dai C; Wang Y; Ye M; Xue X; Liu H
    IEEE Trans Cybern; 2016 Dec; 46(12):3306-3319. PubMed ID: 26685277
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An Evolutionary Algorithm with Double-Level Archives for Multiobjective Optimization.
    Chen N; Chen WN; Gong YJ; Zhan ZH; Zhang J; Li Y; Tan YS
    IEEE Trans Cybern; 2015 Sep; 45(9):1851-63. PubMed ID: 25343775
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Benchmark Test Suite for Dynamic Evolutionary Multiobjective Optimization.
    Gee SB; Tan KC; Abbass HA
    IEEE Trans Cybern; 2017 Feb; 47(2):461-472. PubMed ID: 26890941
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning.
    Kerschke P; Trautmann H
    Evol Comput; 2019; 27(1):99-127. PubMed ID: 30365386
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Performance Analysis of Continuous Black-Box Optimization Algorithms via Footprints in Instance Space.
    Muñoz MA; Smith-Miles KA
    Evol Comput; 2017; 25(4):529-554. PubMed ID: 27689468
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Landscape Analysis of a Class of NP-Hard Binary Packing Problems.
    Alyahya K; Rowe JE
    Evol Comput; 2019; 27(1):47-73. PubMed ID: 30365387
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison of multiobjective evolutionary algorithms: empirical results.
    Zitzler E; Deb K; Thiele L
    Evol Comput; 2000; 8(2):173-95. PubMed ID: 10843520
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Grid Weighted Sum Pareto Local Search for Combinatorial Multi and Many-Objective Optimization.
    Cai X; Sun H; Zhang Q; Huang Y
    IEEE Trans Cybern; 2019 Sep; 49(9):3586-3598. PubMed ID: 30040669
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Inferring Future Landscapes: Sampling the Local Optima Level.
    Thomson SL; Ochoa G; Verel S; Veerapen N
    Evol Comput; 2020; 28(4):621-641. PubMed ID: 32101026
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Principled Design and Runtime Analysis of Abstract Convex Evolutionary Search.
    Moraglio A; Sudholt D
    Evol Comput; 2017; 25(2):205-236. PubMed ID: 26469220
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Maximizing Submodular Functions under Matroid Constraints by Evolutionary Algorithms.
    Friedrich T; Neumann F
    Evol Comput; 2015; 23(4):543-58. PubMed ID: 26135719
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MOEA/D-ACO: a multiobjective evolutionary algorithm using decomposition and AntColony.
    Ke L; Zhang Q; Battiti R
    IEEE Trans Cybern; 2013 Dec; 43(6):1845-59. PubMed ID: 23757576
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit.
    Fan Z; Li W; Cai X; Li H; Wei C; Zhang Q; Deb K; Goodman E
    Evol Comput; 2020; 28(3):339-378. PubMed ID: 31120774
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.