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Yuri Bykov's Home Page

Y area of research interest is investigation and developing metaheuristic optimisation techniques. My work here includes the theoretical studies of algorithmic performance with different problems, improving the effectiveness of models, problem's representation and search techniques in different application areas, such as Timetabling, Scheduling, Bioinformatics, Grid Scheduling. Logistic and Transportation problems. Ew days ago I have opened my Metaheuristic Optimization Forum. Where I am collecting an in...

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Yuri Bykov

Yuri Bykov

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Yuri Bykov

Yuri Bykov

91 Cha●●●●●●y Road

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yu●●●●●●●●@nottingham.ac.uk

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Yuri Bykov's Home Page | yuribykov.com Reviews

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Y area of research interest is investigation and developing metaheuristic optimisation techniques. My work here includes the theoretical studies of algorithmic performance with different problems, improving the effectiveness of models, problem's representation and search techniques in different application areas, such as Timetabling, Scheduling, Bioinformatics, Grid Scheduling. Logistic and Transportation problems. Ew days ago I have opened my Metaheuristic Optimization Forum. Where I am collecting an in...

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1 yuri bykov

2 research fellow

3 education

4 work experience

5 my publications

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9 wwwyuribykov com

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Yuri Bykov's Home Page | yuribykov.com Reviews

https://yuribykov.com

Y area of research interest is investigation and developing metaheuristic optimisation techniques. My work here includes the theoretical studies of algorithmic performance with different problems, improving the effectiveness of models, problem's representation and search techniques in different application areas, such as Timetabling, Scheduling, Bioinformatics, Grid Scheduling. Logistic and Transportation problems. Ew days ago I have opened my Metaheuristic Optimization Forum. Where I am collecting an in...

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yuribykov.com

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Active Data Specification Format

http://www.yuribykov.com/actispec

Active Data Specification Format for multi-problem benchmark instances. It is an Active Data Specification Format, which it is an alternative way of the specification of input data for optimization problems. Is it different from the existing ones? Yes Here all input data can be obtained by calling external functions (procedures) from a correspondent Dynamic Linked Library (DLL). Do we still have to use external input files? No DLL can provide all necessary data. Is this data stored inside the DLL? The ma...

2

International Optimisation Competition (unofficial website)

http://www.yuribykov.com/IOC

The International Optimisation Competition. The International Optimisation Competition was run in October-November 2011 and hosted by SolveIT Software Pty Ltd. The details of the competition and the information about the winners is available on the competition official website. More information about the competition is available on Google. The purpose of this project is different than just repeating the official information. The purpose of this project:. Multi-Step Iterative Local Search. What if I have ...

3

Late Acceptance Hill-Climbing algorithm

http://www.yuribykov.com/LAHC

Late Acceptance Hill-Climbing algorithm (LAHC). If you are looking for an effective optimization heuristic for your project, while not to try the award-winning Late Acceptance Hill-Climbing algorithm? It is the same simple as the greedy Hill-Climbing, but much more powerful. This web page contains helpful information about LAHC: publications, presentations and downloadable examples. The Late Acceptance Hill-Climbing is a new optimisation metaheuristic. The basic idea of the LAHC is very simple:. E K Burk...

4

Grid Scheduling Datasets

http://www.yuribykov.com/gridscheduling

Distributed computing is a new and promising technology, which aims to mobilize additional computational resources for scientific computations. This can help to manage huge computational tasks, which usually arisen in the areas like astronomy, meteorology, bioinformatics, etc. From the other hand, the participating in computational grids helps providers to increase an outcome from their computing facilities. We have evaluated our algorithms on benchmark instances, courtesy provided by Rizos Sakellariou.

5

Flex-Deluge Algorithm

http://www.yuribykov.com/flex-deluge

Flex-Deluge algorithm is a new modification of Great Deluge metaheuristic. It employs a flexible acceptance condition and can adapt an acceptance of candidate solutions depending on the type of move. Using this tool we can bias the search procedure towards more promising region of the search space. E K Burke and Y. Bykov, "Solving Exam Timetabling Problems with the Flex-Deluge Algorithm", (extended abstract), accepted for PATAT 2006. (pdf to appear). Yxb@cs.nott.ac.uk.

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Y area of research interest is investigation and developing metaheuristic optimisation techniques. My work here includes the theoretical studies of algorithmic performance with different problems, improving the effectiveness of models, problem's representation and search techniques in different application areas, such as Timetabling, Scheduling, Bioinformatics, Grid Scheduling. Logistic and Transportation problems. Ew days ago I have opened my Metaheuristic Optimization Forum. Where I am collecting an in...

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