Difference between revisions of "Research Seminar Series"
Difference between revisions of "Research Seminar Series"
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<p class="title is-4">RSS #4</p> | <p class="title is-4">RSS #4</p> | ||
+ | <p class="subtitle is-5">An Adaptive Multi-Meme Memetic Algorithm Embedding Choice Function, Reinforcement Learning and Simple Random Hyper-Heuristics</p> | ||
<p>by M. Özçağdavul</p> | <p>by M. Özçağdavul</p> | ||
<p>November 21, 2016</p> | <p>November 21, 2016</p> | ||
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<p>Hyper-heuristics are intended to be reusable domain independent approaches for solving complex computational problems. There are tailored approaches successfully applied to a specific problem, however they require parameter tuning and cannot be applied to another problem. Memetic Algorithms are a combination of genetic algorithms and local search methods. The evolutionary interaction of memes helps to create intelligent complexes which are able to solve computational problems. Hyper-heuristics are a high level search technique which conducts on the field of a set of low-level heuristics which directly works on the solution.</p> | <p>Hyper-heuristics are intended to be reusable domain independent approaches for solving complex computational problems. There are tailored approaches successfully applied to a specific problem, however they require parameter tuning and cannot be applied to another problem. Memetic Algorithms are a combination of genetic algorithms and local search methods. The evolutionary interaction of memes helps to create intelligent complexes which are able to solve computational problems. Hyper-heuristics are a high level search technique which conducts on the field of a set of low-level heuristics which directly works on the solution.</p> | ||
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Researchers present their research outputs in monthly seminars.
You are all welcome to present your working or to contribute for this open discussion platform.
RSS #4
An Adaptive Multi-Meme Memetic Algorithm Embedding Choice Function, Reinforcement Learning and Simple Random Hyper-Heuristics
by M. Özçağdavul
November 21, 2016
Hyper-heuristics are intended to be reusable domain independent approaches for solving complex computational problems. There are tailored approaches successfully applied to a specific problem, however they require parameter tuning and cannot be applied to another problem. Memetic Algorithms are a combination of genetic algorithms and local search methods. The evolutionary interaction of memes helps to create intelligent complexes which are able to solve computational problems. Hyper-heuristics are a high level search technique which conducts on the field of a set of low-level heuristics which directly works on the solution.
RSS #1
Learning and Knowledge Management Theories for Course Design and Delivery
by Dr. T. D. Medeni
December 23, 2015
RSS #2
IT in Product Traceability with emphasis on Food sector
by O. Areta
January 1, 2016
RSS #3
Virtual Private Server or Micro PCs: Which is Better for the Learning Management System Decision?
by Dr. İ. T. Medeni
February 17, 2016