Abstract
Social emotional optimization algorithm (SEOA) is a new novel population-based stochastic optimization algorithm. In SEOA, each individual simulates one natural person. All of them are communicated through cooperation and competition to increase social status. The winner with the highest status will be the final solution. In this paper, SEOA is employed to solve the directing orbits of chaotic systems, simulation results show this new variant increases the performance significantly when compared with particle swarm optimization algorithm.
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Cui, Z., Shi, Z., Zeng, J. (2010). Using Social Emotional Optimization Algorithm to Direct Orbits of Chaotic Systems. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2010. Lecture Notes in Computer Science, vol 6466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17563-3_47
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DOI: https://doi.org/10.1007/978-3-642-17563-3_47
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