 Problems, Landscape Analysis, Automated Algorithm Selection and Adaptation in Optimization
Workshop: 16th January, 2013
Optimization problems are found in many areas of human endeavour and significant research efforts have been devoted to develop an enormous variety of algorithms and techniques for solving such problems. While many successful applications and experimental results have been produced, there is often very little scientific understanding of the relationship between the performance of algorithms and the problems to which they are applied.
The distribution or nature of the optimization problems that the real world presents are not well understood, but the impressive practical performance of many algorithms suggests that there are structural regularities and information that these algorithms exploit. In the evolutionary computation and metaheuristics literature, increasing interest has focused on developing theory and techniques for characterizing and relating optimization problem instances and to evaluate and compare the performance of algorithms with reference to problem characteristics.
The aim of this workshop is to provide a forum for researchers to present recent results and work-in-progress, as well as to discuss open and future topics in this emerging area of science. Participants will bring interdisciplinary expertise from areas such as computer science, statistics, artificial intelligence, machine learning, metaheuristics and evolutionary computation.
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Organizing Committee |
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http://itee.uq.edu.au/~marcusg/foga_workshop.html |
