Category: CEC Benchmark Problems
CEC: Congress on Evolutionary Computation
What is CEC? The Congress on Evolutionary Computation (CEC) is an annual conference that caters to researchers and practitioners in the field of evolutionary computation. It’s a flagship event of the IEEE Computational Intelligence Society. The conference covers all aspects of evolutionary computation, including genetic algorithms, genetic programming, evolutionary strategies, differential evolution, and more.
When it started? CEC began in the late 1990s as a merger of several evolutionary computation conferences. The first official event under the CEC name was held in 1999.
How many competitions have been conducted? CEC has been an annual event since its inception in 1999. Up until my last update in September 2021, 23 CEC conferences have been conducted. This count might have changed if additional conferences were held after 2021.
Type of optimization problems in CEC? CEC, over the years, has presented a wide range of optimization problems through its competition benchmarks. These problems range in nature and complexity to ensure a thorough evaluation of algorithms. Some types of problems you can expect in CEC include:
- Unimodal Optimization Problems: These have a single optimal solution, and they test the basic searching capability of algorithms.
- Multimodal Optimization Problems: With multiple optimal solutions, these problems test an algorithm’s ability to locate and refine all solutions.
- Fixed-Dimension Optimization Problems: The problem’s dimensionality remains constant.
- Rotated and Shifted Problems: These challenge the adaptability of algorithms.
- Hybrid and Composition Functions: Combining multiple functions, they are typically more complex.
- Real-world-inspired Problems: Designed to mimic real-world situations and challenges.
Each year’s competition might focus on different categories or introduce new challenging problems to ensure that the evolutionary algorithms are well-tested and robust.
Wants to know more about CEC problems, let’s look at the year-wise technical reports of CEC problems.
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Proceedings of the 1999 Congress on Evolutionary Computation-CEC99
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Real-parameter optimization performance study on the CEC-2005 benchmark with SPC-PNX
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Problem definitions and evaluation criteria for the CEC 2006 special session on constrained real-parameter optimization
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Benchmark Functions for the CEC’2008 Special Session and Competition on Large-Scale Global Optimization