University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Items where Author is "Cheng, R"

Up a level
Export as [feed] RSS 1.0 [feed] RSS 2.0
Group by: Item Type | No Grouping
Number of items: 19.

Article

Tian, Y, Cheng, R, Zhang, X, Cheng, F and Jin, Yaochu (2017) An Indicator Based Multi-Objective Evolutionary Algorithm with Reference Point Adaptation for Better Versatility IEEE Transactions on Evolutionary Computation.

Tian, Ye, Cheng, Ran, Zhang, Xingyi and Jin, Yaochu (2017) PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization IEEE Computational Intelligence Magazine.

Sun, C, Jin, Yaochu, Cheng, R, Ding, J and Zeng, J (2017) Surrogate-assisted Cooperative Swarm Optimization of High-dimensional Expensive Problems IEEE Transactions on Evolutionary Computation, 21 (4). pp. 644-660.

Cheng, R, Rodemann, T, Fischer, M, Olhofer, M and Jin, Yaochu (2017) Evolutionary Many-objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation IEEE Transactions on Emerging Topics in Computational Intelligence, 1 (2). pp. 97-111.

Jin, Y, Gu, S and Cheng, R (2016) Feature Selection for High Dimensional Classification using A Competitive Swarm Optimizer Soft Computing.

Cheng, R, Jin, Y, Olhofer, M and Sendhoff, B (2016) Test Problems for Large-Scale Multiobjective and Many-Objective Optimization IEEE Transactions on Cybernetics.

Zhang, X, Tian, Y, Jin, Y and Cheng, R (2016) A Decision Variable Clustering-Based Evolutionary Algorithm for Large-scale Many-objective Optimization IEEE Transactions on Evolutionary Computation.

Cheng, R, Jin, Y, Olhofer, M and Sendhoff, B (2016) A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization IEEE Transactions on Evolutionary Computation.

Cheng, R, Jin, Y, Narukawa, K and Sendhoff, B (2015) A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 19 (6). pp. 838-856.

Gu, S, Cheng, R and Jin, Y (2015) Multi-objective ensemble generation WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 5 (5). pp. 234-245.

Zhang, X, Tian, Y, Cheng, R and Jin, Y (2015) An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 19 (2). pp. 201-213.

Cheng, R, Jin, Y and Narukawa, K (2015) Adaptive reference vector generation for inverse model based evolutionary multiobjective optimization with degenerate and disconnected pareto fronts Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9018. pp. 127-140.

Cheng, R and Jin, Y (2015) A competitive swarm optimizer for large scale optimization IEEE Transactions on Cybernetics, 45 (2). pp. 191-204.

Cheng, R and Jin, Y (2015) A social learning particle swarm optimization algorithm for scalable optimization INFORMATION SCIENCES, 291. pp. 43-60.

Conference or Workshop Item

Cheng, R, Olhofer, M and Jin, Y (2015) Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization.

Cheng, R and Jin, Y (2014) Demonstrator Selection in a Social Learning Particle Swarm Optimizer In: IEEE Congress on Evolutionary Computation (CEC), 2014-07-06 - 2014-07-11, Beijing, PEOPLES R CHINA.

Cheng, R and Jin, Y (2013) Simulating Swarm Behaviuors for Optimisation by Learning from Neighbours In: 13th UK Workshop on Computational Intelligence (UKCI), 2013-09-09 - 2013-09-11, Univ Surrey, Management Sch Foyer, Guildford, ENGLAND.

Cheng, R, Sun, C and Jin, Y (2013) A multi-swarm evolutionary framework based on a feedback mechanism In: IEEE Congress on Evolutionary Computation, 2013-06-20 - 2013-06-23, Cancun, MEXICO.

Thesis

Cheng, Ran (2016) Nature inspired optimization of large problems. Doctoral thesis, University of Surrey.

This list was generated on Fri Sep 22 01:14:23 2017 UTC.

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800