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A novel optimization algorithm inspired by the creative thinking process

SOFT COMPUTING 2015年第10期19卷 2955-2972页

作者： Feng, Xiang Zou, Ru Yu, Huiqun Chinese Univ Sci & Technol Dept Comp Sci & Engn Shanghai 200237 Peoples R China

Creative thinking, which plays an essential role in the progress of human society, has an outstanding problem-solving ability. This paper presents a novel creativity-oriented optimization model(COOM) and algorithm (COOA) inspired by the creative thinking process. At first, COOM is constructed by simplifying the procedure of creative thinking-while retaining its main characteristics. And then, COOA is presented for continuous optimization problems. It is a realization of COOM. As a new nature-inspired algorithm, COOA is different from other similar algorithms in terms of the basic principle, mathematical formalization and properties. Features of the COOM and the corresponding algorithm include a powerful processing ability for the complex problems, namely high-dimensional, highly nonlinear and random problems. The proposed approach also has the advantages in terms of the higher intelligence, effectiveness, parallelism and lower computation complexity. The properties of COOA, including convergence and parallelism, are discussed in detail. The numerous simulations on the CEC-2013 real-parameter optimization benchmark functions' problems have shown the effectiveness and parallelism of the proposed approach.

关键词： creativity-oriented optimization algorithm Nature-inspired algorithm Creative thinking Numerical function optimization

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