cec 2013 代码及论文
Single objective optimization algorithms are the basis of the more complex
optimization algorithms such as multi-objective optimizations algorithms, niching
algorithms, constrained optimization algorithms and so on. Research on the single
objective optimization algorithms influence the development of these optimization
branches mentioned above. In the recent years various kinds of novel optimization
algorithms have been proposed to solve real-parameter optimization problems. Eight
years have passed since the CEC’05 Special Session on Real-Parameter Optimization[1]. Considering the comments on the CEC’05 test suite received by us,
we propose to organize a new competition on real parameter single objective
optimization. In the CEC’13 test suite, the previously proposed composition functions[2] are improved and additional test functions are included.
This special session is devoted to the approaches, algorithms and techniques for
solving real parameter single objective optimization without making use of the exact
equations of the test functions. We encourage all researchers to test their algorithms
on the CEC’13 test suite which includes 28 benchmark functions. The participants are
required to send the final results in the format specified in the technical report to the
organizers. The organizers will present an overall analysis and comparison based on
these results. We will also use statistical tests on convergence performance to
compare algorithms that eventually generate similar final solutions. Papers on novel
concepts that help us in understanding problem characteristics are also welcome.
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