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Name: |
Professor X Yao |
Organisation: |
University of Birmingham |
Department: |
School of Computer Science |
Current EPSRC-Supported Research
Topics: |
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Current EPSRC Support |
There is no current EPSRC Support |
Previous EPSRC Support |
EP/P005578/1 | Adaptive Tools for Electromagnetics and Materials Modelling to Bridge the Gap between Design and Manufacturing (AOTOMAT) | (C) |
EP/J00930X/1 | New Control Methodology for the Next Generation of Engine Management Systems | (C) |
EP/K001523/1 | Evolutionary Computation for Dynamic Optimisation in Network Environments | (P) |
EP/J017515/1 | DAASE: Dynamic Adaptive Automated Software Engineering | (C) |
EP/I010297/1 | Evolutionary Approximation Algorithms for Optimisation: Algorithm Design and Complexity Analysis | (P) |
EP/G002339/1 | Cooperatively Coevolving Particle Swarms for Large Scale Optimisation | (P) |
EP/F033087/1 | Multi-disciplinary Optimisation and Data Mining at Birmingham | (P) |
EP/E058884/1 | Evolutionary Algorithms for Dynamic Optimisation Problems: Design, Analysis and Applications | (P) |
EP/D052785/1 | SEBASE: Software Engineering By Automated SEarch | (P) |
EP/C520696/1 | Computational Complexity Analysis of Evolutionary Algorithms | (P) |
EP/C514297/1 | Nature Inspired Creative Design - a Designing for the 21st Century Research Cluster | (C) |
GR/T10671/01 | Market Based Control of Complex Computational Systems | (P) |
GR/S63465/01 | Prisoners Dilemma Competition: Celebrating the 20th Anniversary | (C) |
GR/S63472/01 | Prisoners Dilemma Competition: Celebrating the 20th Anniversary | (P) |
GR/S63847/01 | Adaptive Divide-and-Conquer - Nature's Way to Cope with Complexity | (P) |
GR/R47394/01 | Theory of Evolutionary Computation- Application for Visiting Fellowship | (C) |
GR/R52541/01 | Average Computation Time of Evolutionary Algorithms for Combinatorial Optimisation Problems | (P) |
GR/N29969/01 | (MTP) MSC/PGDIP/PGCERT IN NATURAL COMPUTATION | (P) |
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Key: (P)=Principal Investigator, (C)=Co-Investigator, (R)=Researcher Co-Investigator
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